94 results about "Diagnosis standards" patented technology

The invention provides a method and system for assisting in disease diagnosis on the basis of intelligent inference, and relates to the field of computers. The method comprises the steps that input information of a user is obtained and analyzed, effective information in the input information is stored, the information matching degree of the effective information in a case library and the rule coverage rate of the effective information in a rule library are calculated, weighted summation is conducted on the information matching degree and the rule coverage rate, and an explaining value p of each disease in a disease library for the input information is obtained; diseases corresponding to the explaining values p are sorted according to the explaining values P, the disease of which the explaining value p is larger than or equal to a threshold value E serves as an initial inference conclusion to be returned to the user, inspection result information input by the user is obtained, diagnostic criteria, corresponding to the disease in the initial inference conclusion, in a book knowledge library are displayed to the user by combining the effective information. According to the method and system for assisting in the disease diagnosis on the basis of the intelligent inference, the process and form of an inquiry under the real scenario of clinical diagnosis are simulated, and the diagnosis result can be well explained.

The invention provides a method for recognizing an image of carcinoma bone metastasis in bone scan in the technical field of image processing. The method comprises the following steps of: detecting positive information and negative information by extracting a whole body bone scan image of a human body; finding out a reference point according to image information, positioning a key part of the human body, and dividing the image into a plurality of main blocks; extracting a hot spot region by using an adaptive region-specific and characteristic-maximum-based (ARC) hot spot detection algorithm of each region; extracting a characteristic vector according to a hot spot detection result and the original image; using a support vector machine (SVM) training model according to the extracted characteristic vector; testing and modifying an obtained classifying model, and simultaneously performing checking, matching and human body calibration on a recognition result so as to obtain a correct diagnosis report. Compared with other methods of recognizing the image of carcinoma bone metastasis, the hot spot detection precision and patient recognition accuracy are improved, the blank in the new developing field of China is recovered, and a uniform diagnosis standard on carcinoma bone metastasis diagnosis in China is established.

Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the “risk” for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.

The invention discloses a rolling bearing outer ring defect full-size quantitative diagnosis method. Firstly primary diagnosis is performed on an actual measurement signal based on an impact time difference to obtain a basic size and selectable sizes of an outer ring defect. Secondly a nonlinear dynamics model of a bearing system is built, and through numerical solving, a vertical-horizontal synchronous simulation vibration signal corresponding to each defect size is obtained. For the situation that a defect angle is 270 degrees, Fourier transform is performed on the actual measurement signaland a simulation signal of each selectable defect size to obtain corresponding amplitude spectrums, a minimum diagnosis parameter Min / delta fN / of the actual measurement signal is solved, and an outerring defect size is diagnosed out. For the situation that the defect angle is 250-290 degrees, an outer ring defect full-size quantitative diagnosis standard database is established based on a vertical-horizontal synchronous standard deviation, and by determining an attribution interval of the vertical-horizontal synchronous standard deviation of the actual measurement signal, the outer ring defect size is diagnosed out.

The invention relates to an integrated diagnosis platform of an automobile ECU and a using method of the platform, and belongs to the technical field of automobile electric-control diagnosis. The platform comprises a diagnosis standard configuration tool, an offline detection system, an offline detection management system, an ECU after-sale diagnosis system, an after-sale management system, a piece of middleware and a basic database of the after-sale diagnosis system and the offline detection system, wherein the diagnosis standard configuration tool generates an automobile parameter database; the offline detection system is used to detect electric control performances of automobile; the offline detection management system configures, inquires, counts and analyzes the offline detection system; the ECU after-sale diagnosis system diagnoses automobile faults; the after-sale management system configures, inquires, counts and analyzes the ECU after-sale diagnosis system, the middleware synchronizes data of the offline detection management system and the after-sale management system regularly; and the basis database provides unified data support for the offline detection system, the offline detection management system, the ECU after-sale diagnosis system and the after-sale management system.

The invention discloses a traditional Chinese medicine for treating heart failure. The traditional Chinese medicine is characterized in that the medicine is prepared by the following components via crushing, sieving and mixing in parts by weight: 250-270 parts of astragalus mongholicus, 100-110 parts of cassia twig, 50-65 parts of rhodiola rosea, 150-160 parts of red sage root, 150-160 parts of rhizoma alismatis, and 150-160 parts of semen lepidii. The traditional Chinese medicine for treating the heart failure can better improve clinical symptoms of the heart failure of the patient caused by deficiency of vital energy and blood stasis, can reduce the congestive heart failure diagnosis standard, can enhance heart function, can improve the living quality of the patient, can increase the actual living ability and living quality of the patient, and can increase distance of walking test in 6 min and display remarkable merit in body recovery of a patient. The traditional Chinese medicine is effective preparation for improving the moving ability of the patient with the heart failure.

The invention provides a random-forest-algorithm-based method and system for identifying a disease diagnosis complication. The method comprises: diseases are classified according to a human anatomy system to form a plurality of disease diagnosis group anatomical categories; according to disease diagnosis and operation, each disease diagnosis group anatomical category is subdivided to form a plurality of disease diagnosis grouping operation categories; and complications in the disease diagnosis grouping operation categories are subdivided by using a random forest algorithm to form a final disease diagnosis standard group. According to the invention, on the basis of specific case data, complications with similar clinical processes and similar resource consumption are classified into one category by using the random forest algorithm so as to realize automatic grouping of cases, so that the support is provided for medical insurance payment and medical service performance evaluation. Therefore, the scientific, stable and accurate performances of medical resource management are improved.

The invention discloses a test kit of auxiliary diagnosis of non-small cell lung cancer patients. The test kit comprises a product used for detecting protein landmark isocitrate dehydrogenase 1(IDH1), a product used for detecting protein landmark carbonic anhydrase 125 (CA125), a product used for detecting protein landmark CYFRA21-1 and a carrier on which a functional expression p=1 / (1+(20.186*0.406<x1>*0.923<x2>*0.656<x3>)<-1>) is recorded, wherein x1 represents the concentration of IDH1, x2 represents the concentration of CA125, and x3 represents the concentration of CYFRA21-1. The test kit is adopted and the non-small cell lung cancer patients are diagnosed in an auxiliary mode according to corresponding diagnosis standards, the test kit has the advantages of being high in sensitivity and strong in specificity, reliability of the diagnosis is far higher than that of diagnosis which is carried out with each single protein landmark, and the test kit has great value and application prospects for diagnosis and treatment of non-small cell lung cancer.

The invention discloses an ultrasonic image thyroid nodule intelligent detection system based on a Faster-RCNN. When the adopted Faster-RCNN model is used for carrying out target detection, speed increases and storage space is optimized compared with a regional convolutional neural network RCNN so that rapid and automatic detection of benign and malignant nodules is realized. The features are optimized in the model construction. Key features in an ultrasonic diagnosis standard ACR TI-RADS are calculated before deep learning training, key image feature factors influencing clinical diagnosis aresearched and added to a convolutional neural network feature layer for improvement, a new identification model is constructed, and therefore the accuracy of a prediction result is improved.

The invention discloses a rapid diagnosis and treatment and triage intelligent auxiliary system for family doctors; the rapid diagnosis and treatment and triage intelligent auxiliary system comprisesthe following parts: a pre-check system used for detecting present physical data of a patient; a medical database that stores patient long term diagnosis and treatment data; a health database that stores patient health data; a diagnosis standard database that records medical science clinic diagnosis guide and diagnosis standards; an intelligent visualization auxiliary system that uses the diagnosis standard database to make a plurality of auxiliary diagnosis guides with different diagnosis levels on the patient conditions according to the present physical data, the diagnosis and treatment dataand the health data; the family doctor makes a diagnosis conclusion according to the auxiliary diagnosis guides. The intelligent auxiliary system enables the family doctor to use the diagnosis standard database to make the plurality of auxiliary diagnosis guides with different diagnosis levels on the patient conditions according to the present physical data, the diagnosis and treatment data and the health data, thus preventing misdiagnosis; the system can also reduce the diagnosis and treatment time of the family doctor.

The invention discloses a pathological diagnosis method based on data analysis. The method is characterized by comprising the following steps of 1, according to definition description of a disease, establishing a corresponding disease symptom database; 2, establishing a basic pathological diagnosis standard data model; 3, performing text analysis on previous cases of a patient; 4, according to a text image data protocol, converting text analysis data and digital slice image data to the same type of coding data format; 5, performing unified data cleaning, eliminating singular points in the datafor performing pathological diagnosis; and 6, performing data visualization and optimizing a pathological diagnosis model. According to the pathological diagnosis method, an optimal pathological diagnosis model can be established; pathological diagnosis analysis is performed, thereby realizing patient condition diagnosis and disease classification; and a disease condition knowledge database is established for providing a reference for a subsequent treatment plan.

The embodiment of the invention provides a medical knowledge graph construction method and device. The method comprises: acquiring diagnosis evidence information, clinical manifestation information and disease information; according to the diagnosis evidence information, the clinical manifestation information and the disease information, utilizing a preset diagnosis standard, a clinical standard and a disease diagnosis method to establish an association relationship between the disease and the multi-layer clinical manifestation and an association relationship between the clinical manifestationof each layer and the diagnosis evidence; and according to the association relationship between the disease and the multi-layer clinical manifestation and the association relationship between the clinical manifestation of each layer and the diagnosis evidence, constructing a medical knowledge graph containing the association relationship among the diagnosis evidence entity, the clinical manifestation entity and the disease entity. According to the method, clinical manifestation information is added into the medical knowledge graph, and the association relationship between diagnosis evidences and diseases is established through multi-layer clinical manifestation, so that the medical knowledge graph can fully reflect the differential diagnosis thought of doctors.

The invention provides a diabetic nephropathy-non-diabetic nephropathy differential diagnosis device and relates to the biological detection technology field. Defects that a standard in a traditionalchronic kidney disease clinical practice guide (KDOQI) is not objective and unified and is not suitable for serving as a diagnosis standard, and a traditional kidney puncture biopsy technology is large in trauma, can cause complications after operation and is high in technical difficulty. In a diabetic nephropathy-non-diabetic nephropathy differential diagnosis process provided in the invention, anew index is selected by adopting a machine learning method to construct a diabetic nephropathy and non-diabetic nephropathy differential diagnosis model, pain of a patient can be reduced, a diagnosis result is accurate, an application range is wide, and a good auxiliary diagnosis effect is provided for clinical practice.

The invention provides application of D-serine as a marker in preparing a depression diagnostic kit as well as the depression diagnostic kit and relates to the technical field of depression diagnosis.The depression diagnostic kit is characterized in that metabolic substances with abnormal lesion in brain tissues of depression patients are researched; research results shows that the D-serine is closely related with depression, so that the D-serine as the marker is put forward for the first time to be applied to a relevant field of preparing the depression diagnostic kit, the defect of unobjective diagnosis of indexes used for the depression diagnosis process at present are overcome, so that brand-new higher-accuracy objective diagnosis standards are provided for the later depression diagnosing, and a new idea is further provided for diagnosing the depression. The depression diagnostic kit provided by the invention can quickly and accurately detect the concentration of the D-serine in cerebrospinal fluid of subjects, and thereby effectively and accurately judge whether the subjects are suffered from the depression or not as well as the severity of the depression.

The invention discloses a leaf nutrition diagnosis method of raspberry. The leaf nutrition diagnosis method comprises following steps: 1, sampling; 2, leaf sample processing, wherein the collected samples are washed with deionized water, excess water is removed via adsorption, enzyme deactivation, drying, grinding, and sieving are carried out, and samples which are subjected to detection using an atomic absorption spectrophotometer are also processed via dry ashing and acidification; and 3, measuring of leaf mineral element content. According to the step of sampling, diagonal method is adopted in sampling of square orchards, and broken line method is adopted in sampling of rectangular orchards, five sampling points are selected, four plants with normal growth conditions are selected at each point, three leaves of each plant are collected, wherein mature leaf collection parts are the 7th to 12th nodes of current-year branches, young leaf collection parts are the top parts of current shoots, and preferably, in Heilongjiang Province, summer fruit variety sampling time is determined at the early ten days and the middle ten days of August, and autumn fruit variety sampling time is determined at the middle ten days of June. The invention also discloses a raspberry nutrition diagnosis standard specific scope. The leaf nutrition diagnosis method of raspberry and the raspberry nutrition diagnosis standards are established so as to provide raspberry production and fertilization with guidance basis.

The invention discloses a traditional Chinese medicine for treating heart failure. The traditional Chinese medicine is characterized in that the medicine is prepared by the following components via crushing, sieving and mixing in parts by weight: 250-270 parts of astragalus mongholicus, 100-110 parts of cassia twig, 50-65 parts of rhodiola rosea, 150-160 parts of red sage root, 150-160 parts of rhizoma alismatis, and 150-160 parts of semen lepidii. The traditional Chinese medicine for treating the heart failure can better improve clinical symptoms of the heart failure of the patient caused bydeficiency of vital energy and blood stasis, can reduce the congestive heart failure diagnosis standard, can enhance heart function, can improve the living quality of the patient, can increase the actual living ability and living quality of the patient, and can increase distance of walking test in 6 min and display remarkable merit in body recovery of a patient. The traditional Chinese medicine is effective preparation for improving the moving ability of the patient with the heart failure.

The invention discloses an experimental method of balanced fertilization of a fir and masson pine seed orchard. According to the flowering and seed setting conditions and fertilizer requirement laws of seed trees of a seed orchard of firs and masson pines in different areas and different generations, and the orchard soil characteristics, a formula fertilization system of the seed orchard of firs and masson pines in different areas and different generations is established by measuring soil, measuring the fruits and leaves of the trees and experimenting the field fertilizer effect, the formula fertilization system includes nutrient diagnosis standard, fertilization amount, fertilization rates, fertilization time and fertilization methods, and the application of the formula fertilization system is demonstrated. The experimental method disclosed by the invention is used for comprehensively understanding macro elements and trace elements of soil, proposing a reasonable fertilization formula suitable for firs and masson pines in different areas and different generations, and determining the soil nutrient content and the needle nutrient concentration of the seed tree with the highest yield by virtue of a mathematic relation of the seed yield per plant and corresponding leaf or fruit nutrient content. The experimental method disclosed by the invention is used for effectively improving the yield and productivity of the seed orchard and remarkably improving economic and social benefits, thereby having broad application prospects.

The invention relates to a vehicle diagnosis system and method. The method comprises the steps of: obtaining diagnosis data from a vehicle by using a first communication protocol formed by segmentingdifferent diagnosis services according to vehicle diagnosis protocols of manufacturers or brands, and sending the diagnosis data to a mobile terminal; converting the target diagnosis data into data ina network protocol format used by the server according to a second communication protocol formed by dividing different diagnosis services by utilizing each network protocol, and sending the data to the server, wherein the server compares the data in the network protocol format with corresponding diagnosis standard data in a database to obtain a diagnosis result and sends the diagnosis result to the mobile terminal for display. Compared with the prior art, mutual communication between the mobile terminal, the server and the OBD equipment and vehicles of different manufacturers or brands is achieved through the first communication protocol and the second communication protocol corresponding to the diagnosis service, and the vehicle maintenance efficiency is improved.

The application embodiment provides a vehicle diagnosis method, a diagnosis terminal and a diagnosis box; the vehicle diagnosis method comprises the following steps: the diagnosis terminal determinesa diagnosis type to which a to-be-diagnosed vehicle belongs according to a received diagnosis command, and further determines a target diagnosis mode of the needed diagnosis box according to the diagnosis type when the to-be-diagnosed vehicle is diagnosed; the diagnosis terminal obtains the present diagnosis mode of the diagnosis box; if said two diagnosis modes are different, the diagnosis terminal sends a diagnosis mode switching command to the diagnosis box so as to remind the diagnosis box to switch the target diagnosis mode, thus enabling the diagnosis terminal to diagnose the to-be-diagnosed vehicle via the diagnosis box working in the target diagnosis mode. The method integrates the diagnosis box that supports new model diagnosis standards and old model diagnosis standards with diagnosis software, thus automatically selecting a proper diagnosis mode according to the to-be-diagnosed vehicle model, preventing frequently switching of the diagnosis modes and diagnosis software of the diagnosis box, and improving the diagnosis efficiency.

The invention provides an intelligent auxiliary diagnosis system, and the system comprises a cloud platform and a plurality of terminals which are connected with the cloud platform through a network.The cloud platform comprises a cloud platform algorithm module, and the cloud platform algorithm module trains an intelligent diagnosis auxiliary model based on a large number of disease pictures at an early stage through the artificial intelligence technology. Through clinical testing, the model is embedded into the cloud platform so as to implement the intelligent auxiliary diagnosis after the sensitivity and specificity reach an accurate diagnosis standard, and the system can automatically feeds back an intelligent diagnosis result matched with the disease pictures obtained by the terminals, and transmits the diagnosis result to the terminals as the reference of doctors. The system promotes the intelligentization and informationization of the related medical services. The system buildsa remote medical artificial intelligent service network, achieves the hierarchical medical services, and can guarantee the performances and safety. The system reduces the application and maintenance cost. The system facilitates the improvement of the initial diagnosis capability for diseases at the basic level, and enables the hierarchical diagnosis and treatment system to be complete.

The present invention discloses a neurological intensive rehabilitation diagnosis and treatment system in the field of medical care. The system comprises a diagnosis system, an assessment system, a conventional therapy system, a rehabilitation therapy system and an information running system. The neurological intensive rehabilitation diagnosis and treatment system is a software platform based on Hadoop and is computer application software. A diagnosis standard and a rehabilitation therapy routine of medical clinic neurological intensive rehabilitation science are processed digitally and then input into a computer data system; and then the rehabilitation therapy system performs diagnosis and rehabilitation assessment of a neurological intensive system disease according to the diagnosis system and the assessment system, and imports record data into a clinic case management system of a computer cloud end. The system disclosed by the present invention has the advantages of normalized diagnosis and treatment procedures, convenient operation, correct and efficient diagnosis and the like.

The invention relates to a standardized traditional Chinese medicine observation diagnosis system which comprises a standard environment module, an image acquisition module and an image display module. A standard light source is applied to construct an observation environment simulating natural sunlight to perform omnibearing observation on a patient, an observation diagnosis standard is established, observation diagnosis information acquisition precision is improved, tedious acquisition equipment and display equipment debugging and setting processes are avoided, observation diagnosis system application difficulty is simplified, large-scale application and popularization are facilitated, and upgrading and maintenance in the future are also facilitated.

The invention discloses a kit for auxiliary diagnosis of squamous cell lung carcinoma patient. The kit provided by the invention comprises a product for detecting a protein marker IDH1, a product for detecting a protein marker CA125, a product for detecting a protein marker CYFRA21-1 and a carrier recorded with the following functional expressions (as shown in the description): x1 stands for the concentration of the IDH1, x2 stands for the concentration of the CA125, and x3 stands for the concentration of the CYFRA21-1. The kit provided by the invention is used for the auxiliary diagnosis of squamous cell lung carcinoma patient according to the corresponding diagnosis standard, and has the characteristics of high flexibility and strong specificity, the diagnosis result reliability is far better than the diagnosis by adopting the single protein marker, and has important value and application prospect for the diagnosis and treatment of the squamous cell lung carcinoma.

The invention discloses an intelligent automation system and method for analyzing and identifying the damage degree. A scanning mode adopted by an output subsystem of the intelligent automation systemfor analyzing and identifying the damage degree is a scanning mode of two-dimensional scanning and three-dimensional scanning for input, and meanwhile characters of a scanned object are automaticallyrecognized and stored in a processing terminal during two-dimensional scanning input. During signing, a signing process is adopted for real-time video recording, and authenticity of signing personneland the signing process is guaranteed. According to the method for analyzing the damage degree and identifying the intelligent automation system, each diagnosis standard can be split, and internal diagnosis logic and diagnosis key points are interpreted. The problem that in the prior art, clinical injury diagnosis cannot be accurately mastered by non-forensic professional outsiders is effectivelyavoided. The defects that the applicable understanding of damage degree identification standard articles is wrong and deviates frequently, and the analysis and identification efficiency of the humanbody damage degree is low due to the fact that a large amount of redundant labor is repeated when an identification report is written are overcome.

The invention discloses a diagnostic marker of inferior myocardial infarction and / or anterior myocardial infarction. The diagnostic standard substance is a lysophosphatidylcholine substance; a high performance liquid chromatography-mass spectrometry detects that the contents of lysoPC (14:0), lysoPC (15:0), lysoPC (17:0) and lysoPC (18:0) in blood of patients suffering from the myocardial infarction are obviously lower than those in blood of normal people, and the contents of the lysoPC (14:0), the lysoPC (15:0), the lysoPC (17:0) and the lysoPC (18:0) in blood of patients suffering from the inferior myocardial infarction and the anterior myocardial infarction also have significant differences. According to research results, the invention develops a product for diagnosing the myocardial infarction, and the diagnostic product has high sensitivity and strong specificity and can be used in clinical popularization.

The invention discloses a construction method of a diabetic cardiomyopathy animal model. An SD (Sprague Dawley) rat under high-sugar and high-fat feeding is subjected to multiple abdominal injection with STZ (streptozocin); after the diabetics diagnosis standard is reached, subcutaneous injection with isoprenaline is performed; after 2 weeks of continued feeding, left ventricular cannulation and three-lead electrocardiogram test of ventricular hemodynamic parameters and electrocardiogram parameters shows that the rat experiences cardiac dysfunction; heart weight index and left ventricular index show that the rat experiences evident ventricular hypertrophy; biochemical analysis on rat blood shows that the rat has evident myocardial damage; HE (hematoxylin-eosin) pathological staining satisfies pathological changes in diabetic cardiomyopathy; Masson collagen staining satisfies myocardial connective tissue proliferation of diabetic cardiomyopathy. The construction method has the advantages of good operational simplicity, short construction time, low mortality in construction phase, high construction success rate and the like, and the pathological process of myocardial damage due to human type 2 diabetes mellitus can be well simulated.

The invention discloses a system for intelligently identifying infectious diseases based on mandatory diagnosis standards, equipment and a storage medium. The system comprises an index construction module, an information extraction module, a standard database, a first text mining module, a second text mining module and a feature matching module. According to the method, specific indexes of infectious disease classification are determined based on mandatory diagnosis standards for infectious diseases, and a standard database is established by extracting infectious disease case classification standards and main feature information contained in each infectious disease case classification standard; a feature information vector space model is adopted for infectious disease diagnosis standard feature extraction, intelligent recognition is conducted through cosine similarity, mutual information similarity and a combination of the cosine similarity and the mutual information similarity, and therefore, accurate case recognition, intelligent cognition and auxiliary diagnosis are achieved.

The invention discloses grade evaluation of characters of excrement confined forest musk deers and application of grade evaluation in detecting digestive tract diseases. The invention provides a kit for detecting whether a forest musk deer has digestive tract diseases or not. The kit comprises a substance for detecting excrement shapes, a substance for detecting excrement colors, a substance for detecting excrement smell as well as a carrier, wherein the substance for detecting the excrement color5s is a color comparison card; the color comparison card is a paint film color standard sample card; the substance for detecting excrement colors and the substance for detecting excrement smell are both containers for collecting excrement; the carrier is used for recording score calculation equations and judgment standards of shape evaluation standards, color evaluation standards, smell evaluation standards and forest musk deer samples. The invention aims to research on grade evaluation on shapes, smell and colors of excrement of the forest musk deers, methods for rapidly judging healthy states of digestive tracts of the forest musk deers are studied, and primary diagnosis standards are provided for health management of the forest musk deers.

The invention discloses a fluorescence quantitative PCR kit for detecting GGPPS1 in a liver tissue of a liver cancer sample. The kit comprises the following ingredients: a specific primer and a fluorescence quantitative PCR reaction solution. The invention further discloses a using method of the fluorescence quantitative PCR kit for detecting the GGPPS1 in the liver tissue. By utilizing the kit, the expression of the GGPPS1 in the liver tissue can be fast and quantitatively detected, and the detection result can be used as a diagnosis standard of clinical liver cancer in early stage or advanced stage. The kit disclosed by the invention has the advantages of simplicity and convenience in operation, high speed, stable result, high sensitivity and strong specificity.

The invention discloses a soil management method for improving the fruit quality of winter jujubes. According to the method, a topdressing method in the fruit developing period is guided by making a nutrition diagnosis standard for the young fruit period of winter jujubes, and the fruit quality of winter jujubes can be improved by autumn deep-digging and fertilizing, replacement of upper and lower layers of soil, sod cultivation in an orchard, yield control and other comprehensive soil management methods. The soil management method can be used for remarkably improving the fruit quality of winter jujubes, and thus the economic benefits can be greatly promoted.