38results about How to "Early intervention" patented technology

The invention provides an early death risk assessment model establishing method and device based on ensemble learning. The method and device are used for assessing the death risk of an old multi-organfailure patient during hospitalization based on diagnosis and treatment data of the first day when the old multi-organ failure patient enters an intensive care unit. The method comprises the steps ofdata set construction, data processing and model construction and evaluation. The method comprises the following steps: acquiring three pieces of demographic information, five pieces of vital sign information, five laboratory examination indexes and two clinical indexes of a patient on the first day during living in an intensive care unit; inputting the data into a risk assessment device, and carrying out internal data preprocessing, feature calculation and model operation. Finally, the risk of adverse outcomes in the hospital of the patient can be predicted early, and doctors are helped to treat the patient as soon as possible.

The invention discloses a diabetic patient assessment and management system. The system comprises a patient information collection module, a regression model establishment module, a data processing module, a regression coefficient calculation module, a risk grade assessment module and a follow-up visit setting module. According to the system, risk factors leading to the complication of a patient are found out through Logistic regression analysis, the risk factors are assigned with corresponding scores according to the risk degrees of the risk factors, the symptom of the patient is objectively scored through accumulation of the risk factors, and the degree of the complication risk is judged according to the score accumulation condition, wherein the score changes dynamically along with the change of the patient's condition. Meanwhile, as all data is stored in an internet server, as long as a computer capable of having access to networks is available, a doctor can complete the function anywhere by accessing a website with accessing software.

The invention discloses a mobile health data collection and integrated management system employing the internet + and an application method thereof. The mobile health data collection and integrated management system comprises an ID card reader, a tablet computer, an oximeter, an infrared thermometer, electrocardiogram equipment, a urine analyzer, a multifunctional glucometer, a sphygmomanometer and a portable printer; a mobile health data collection and integrated management system APP is arranged in the tablet computer and comprises health follow-up project question and answer to automatically draw a conclusion; the ID card reader, the oximeter, the tablet computer, the infrared thermometer, the electrocardiogram equipment, the urine analyzer, the multifunctional glucometer, the sphygmomanometer and the portable printer are connected with a wireless bluetooth of the tablet computer separately. According to the mobile health data collection and integrated management system employing the internet +, various small portable instruments are matched with a wireless bluetooth technology and connected with the tablet computer, comprehensive data collection can be carried out on the physical condition of a testee, and analyzing, tracking and recording of comprehensive situations of chronic diseases are facilitated.

The invention discloses a baby abnormal behavior detection method based on a condition generative adversarial network and an SVM, and belongs to the technical field of video image processing and deeplearning. Whether baby behaviors are abnormal or not is judged by analyzing baby motion trajectories in videos, firstly, baby videos are obtained, the baby videos are cut with reasonable length and converted into frame images, and the four limbs and the whole body are marked so that a sample library can be built; then, the condition generative adversarial network is used for performing target tracking on the whole body and the four limbs of the baby; then, wavelet approximation waveform and wavelet power spectrum calculation is performed on the obtained target motion trajectory, obtained characteristics are classified through the SVM, and comprehensive judging is performed; motion trajectory detection is performed on information of the whole body and the four limbs of the baby, informationis more comprehensive compared with single limb detection, wavelet region and power spectrum combined training is adopted, the detection precision is improved, whether baby behaviors are abnormal ornot is detected, intervention is performed as soon as possible, and the method is of a great significance for preventing diseases such as baby brain paralysis.

The invention provides an early warning method and system for the temperature of a continuous annealing furnace. The early warning method comprises the steps that data are generated into samples according to different collecting time periods, data quality check is carried out on all the samples, a sample set is generated, the sample set is subjected to feature extraction, and stability and degradation tendency of the sample set is judged; and the furnace temperature change condition of each furnace section in the annealing furnace is predicted based on a BP neural network algorithm. Accordingto the method, a traditional alarm mode is combined with an SPC process control statistics and neural network prediction algorithm mode, trend prediction can be carried out on the health degree of thefurnace while over-limit alarm is achieved, and meanwhile, a BP neural network algorithm is adopted to predict the furnace temperature. The brand-new temperature health monitoring and early warning method is provided for the continuous annealing furnace of a hot galvanizing unit. The early warning system using the method can assist an operator in giving an alarm in advance and discovering a faultpoint in time when a problem occurs so as to strive for early discovery and early intervention.

The invention discloses an abnormal person gathering early warning method and system and a related device. The abnormal person gathering early warning method comprises the following steps: sending a deploying and controlling instruction to acquisition equipment; wherein the deploying and controlling instruction comprises preset feature information of at least one abnormal person; receiving preliminary early warning information from an acquisition device, the preliminary early warning information being generated when the acquisition device determines that there is an abnormal person by comparing the acquired person feature information with preset feature information; based on the received preliminary early warning information, judging whether the current abnormal personnel condition meets apreset aggregation condition or not; and if yes, generating aggregation early warning information of abnormal personnel aggregation. According to the scheme, gathering early warning of abnormal people can be achieved, and public security and stability can be maintained.

The invention provides an intelligent psychological pressure assessment and early warning system for multiple groups under an epidemic disease condition, and belongs to the field of artificial intelligence pattern recognition. The system comprises a data acquisition module, a psychological assessment module and an alarm module, wherein the data acquisition module is configured to acquire at leastone physiological signal of a tested individual and perform preprocessing; the psychological assessment module is configured to input the preprocessed physiological signal into a preset neural networkmodel to obtain the probability that the tested individual is in different psychological states, and then determine the current psychological state level of the tested individual; and the alarm module is configured to send out alarm information when the psychological state level of the tested individual exceeds a safety level. According to the system, only the related physiological signals of thetested individual need to be collected, and a psychological level classification result can be efficiently and accurately obtained without any inquiry, so that the individual with the psychological abnormality can be intervened and treated in advance, and the physiological and psychological health of the tested personnel is guaranteed.

The invention provides a landslide disaster monitoring device, which comprises a vegetation remote sensing monitoring device, a seismic wave monitoring device, a groundwater monitoring device, a rainfall monitoring device, a determining device, a slope monitoring device, a data analysis device, a data transmitting device and an early warning device. The invention also provides a monitoring methodfor the landslide disaster monitoring device. The method comprises the steps of: acquiring the geological data of a landslide monitoring area, the geological data including vegetation image data, seismic wave data, groundwater data and rainfall data; determining whether a landslide may occur according to the geological data, if so, using the slope monitoring device to monitor the displacement of the slope that may cause the landslide, using the data analysis device to analyze the displacement of the slope to determine whether a landslide occurs, and if a landslide occurs, enabling the data analysis device to give an early warning signal; and receiving the early warning signal by the data transmitting device and converting the early warning signal into an intervention processing alarm and transmitting the intervention processing alarm to the early warning device. The landslide disaster monitoring device has high monitoring efficiency.

The invention provides a medical intelligent mattress sleep monitoring device and method based on a piezoelectric ceramic sensor. The medical intelligent mattress sleep monitoring device includes a piezoelectric ceramic sensor unit, a signal amplification and filtering unit, a microprocessor unit, a communication unit, a USB power supply unit and the like, and is characterized in that the piezoelectric ceramic sensor unit places piezoelectric ceramic sensors. The unit is composed of plurality of sensors. The sensor unit is connected to the signal amplification filter unit through wires. The signal amplification and filtering unit completes the amplification and filtering of original vital sign signals, and the original vital sign signals are sent to the microprocessor unit after being amplified and filtered. The microprocessor unit completes data analysis and processing of the amplified and filtered signals, and finally vital sign signals such as on-bed respiration, heart rate and bodymovement are obtained. According to the medical intelligent mattress sleep monitoring device and method, the monitoring of physiological states such as on-bed heart rate, respiration, body movement is realized by sensing the subtle pressure change of a human body. The medical intelligent mattress sleep monitoring device and method have the characteristics of high accuracy, low cost and the like,are suitable for ordinary consumers, and have a certain market prospect and promotion value.

The invention discloses a molecular marker for diagnosing and treating tumors. The molecular marker is a fused gene PLEKHA1-TACC2; and the fused gene simultaneously contains a part of sequences of a gene PLEKHA1 and a gene TACC2. The molecular marker disclosed by the invention is beneficial to early diagnosing and treating tumours, increasing the screening efficiency and reducing the screening cost; a direction is provided for individualized treatment; and the survival rate and the survival quality of patients are improved.

The invention discloses a myopia risk assessment method, device and system based on artificial intelligence, and the method comprises the steps: sensing the state of a target object in a preset regionin real time, and carrying out the real-time collection and storage of video data; performing sequence modeling on the video, and performing identity recognition, eye state recognition and action feature recognition on a target object in the video through a video structuring algorithm to generate structured data and unstructured data; converging, cleaning and managing various information data, including converging, cleaning and managing according to the structured data, the unstructured data, and the personal data and the basic data of the target object; and analyzing and evaluating the myopia risk of the target object in the preset scene based on the structured data and the unstructured data, including constructing a myopia risk evaluation index model based on the real-time calculation data and the historical calculation data, and analyzing and evaluating the myopia risk of the target object in the preset scene based on the model.

The invention discloses an infant abnormal behavior detection method based on a meanshift algorithm and an SVM. The method comprises the following steps: preprocessing an acquired baby video; performing target motion trail tracking on four limbs and the whole body of the baby in the video by using a meanshift algorithm; storing the obtained motion trail information; then, wavelet transform is usedfor extracting motion trail information; establishing a sample set for the extracted wavelet approximate waveform; the set SVM support vector machine is used for training; solving a power spectrum ofthe motion trail information by using wavelets; and establishing a sample set by using the obtained features, training the sample set by using the set SVM support vector machine, testing the two trained models, and setting different weight parameters by using a data weighted fusion algorithm according to different accuracies of the two models so as to carry out weighted judgment, thereby obtaining an optimal training result.

The invention discloses a liquid-chip HIV-antigen antibody combined detection kit and a detecting method and belongs to the field of immunoassay. The kit comprises microspheres respectively covered with HIV gp41, p17, p24, p31, p66 and gp120 antigens, a biotinylated anti-human secondary antibody, an SA-PE solution, microspheres covered with a p24 monoclonal antibody, and a monoclonal antibody labeled with fluorescein and matching the p24 monoclonal antibody. Combined detection for six HIV antibodies and a P24 antigen can be performed simultaneously through a small amount of a sample. Compared with an immunoblotting method, the kit and the detecting method are high in sensitivity and specificity. Through the kit and the detecting method, the HIV antibodies can be detected timely in the earlier period of infection, thus achieving early detection and early intervention of HIV infection, reducing HIV transmission and ensuring safety of blood transfusion. The kit and the detecting method have a wide application prospect.

The invention relates to the field of obstetrics, in particular to a gestation hypertension risk dynamic evaluation method based on the change of the physical and chemical information of pregnancy. The invention is characterized in that different evaluation criteria can be selected according to the pregnancy cycle, automatic identification is carried out on the physical and chemical information, and the change tendency of the information parameters in the gestation period is monitored, and whether the information parameters are abnormal or not is evaluated according to the comparison between the physical and chemical information and the experimental values. Aiming at different pregnant women or the same pregnant women at different gestational weeks, the doctor can use the historical medical information, the current physical and chemical information and the diagnosis and treatment experience, the risk weights of the physical and chemical parameters are adjusted, and the risk that the pregnant women suffer from hypertension and related complications is evaluated, so that the medical process has good flexibility. According to the evaluation method, the pre-pregnancy medical history iscombined with the post-pregnancy information, the dynamic monitoring is combined with the static estimation, and the current detection is combined with the trend estimation, the single detection andthe overall evaluation are combined, so that the monitoring can have real-time ability, prediction performance and pertinence, and the intervention can be carried out on the pregnant woman in advance,and the harm of the mother and the baby can be reduced.

The invention relates to a set of single nucleotide polymorphism (SNP), a biological marker and haplotype block tag single nucleotide polymorphisms (tagSNPs) for diagnosing hyperbilirubinemia in the technical field of biology. An SNP locus is one of the fifteen SNP loca shown in a table, and the biological marker is 1A4 intron SNPc.867+101G>T. The set of the SNP, the biological marker and the haplotype block tagSNPs can detect whether an individual has the risk of diseases or not, diagnose specific types of the hyperbilirubinemia suffered by the individual according to difference of the SNP loca of a specific marker, and achieve the purposes of early prediction, early diagnosis, early intervention and early treatment. The biological marker can further be used for developing a diagnostic reagent kit and can be applied to clinical research, analysis and diagnosis.

The invention provides an inclination monitoring and early warning system for industrial Internet-of-things construction, and relates to the technical field of Internet-of-things construction.The inclination monitoring and early warning system for industrial Internet-of-things construction comprises a bottom supporting leg, an inclination monitoring sleeve, a supporting column, an equipment mounting base and a networking transmitting terminal. The supporting column is vertically fixed to the ground. The bottom supporting leg is arranged at the bottom end of the supporting column, and anti-skidlines are arranged on the outer circle face of the bottom supporting leg. A deep groove is dug in the ground at the bottom of the supporting column, and the bottom supporting leg at the bottom end ofthe supporting column is deeply buried in the deep groove in the ground. Swingable inclination monitoring guide rods are arranged on the inner wall of a sleeve hole at equal intervals, and the top end of each swingable inclination monitoring guide rod rolls on the outer circle face of the supporting column through a first walking roller. The inclination monitoring guide rods are arranged on the outer circle face of the supporting column at equal intervals, so that the supporting column can be monitored when toppling over to any direction on the ground, and the effectiveness of monitoring thesupporting column is improved.

The invention discloses a mutant gene group, library and kit for evaluating female malignant tumor risk, and belongs to the technical field of biomedical molecular detection. The mutant gene group forevaluating the risk of female malignant tumors comprises one or more selected from a group consisting of the following 25 genes: ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, EPCAM, MLH1, MSH2, MSH6, NBN, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, STK11, TP53, BARD1, MRE11A, MUTYH, RAD50, XRCC2 and FANCC5. According to the invention, female malignant tumor related genetic markers can be widely screened andinspected, accuracy is higher, and a basis is provided for prediction, prevention and diagnosis of female malignant tumor onset risks.

The invention discloses an intelligent stethoscope. The intelligent stethoscope comprises a handle end. The handle end internally comprises an audio converter, a DSP chip, an amplifier and a Bluetoothtransmitter which are sequentially connected. An analog-to-digital conversion module, an adjustable filtering frequency band module and an audio processing module are constructed on the DSP chip. Theinput end of the analog-to-digital conversion module is connected to the output end of the audio converter. The audio processing module selects a corresponding frequency band from the adjustable filtering frequency band module to filter the output of the analog-to-digital conversion module according to an external instruction and outputs the filtered output to the amplifier. According to the intelligent stethoscope, the DSP chip is used to replace an analog circuit and can compile audio signal data flow, the selectivity and signal-to-noise ratio of audio signals are further improved through techniques such as noise reduction, filtering, phase overlapping, and separation in a programmable and presetting mode, users can use the intelligent stethoscope to listen more clearly, weak signals ofa suspected case cannot be lost, the listening feeling is obviously better than that of traditional stethoscopes, and the volume is adjustable.

The invention provides a DNA (deoxyribonucleic acid) methylated molecular marker for detecting benign and malignant pulmonary nodules. The DNA methylated molecular marker is any one or a combination of more than two selected from sequences as shown in SEQ ID NO. 1 to SEQ ID NO. 21 or continuous fragments of at least 55% of the total length of the sequences as shown in SEQ ID NO. 1 to SEQ ID NO. 21; or is any one or a combination of more than two selected from complete complementary sequences of the sequences shown as SEQ ID NO. 1 to SEQ ID NO. 21 or continuous fragments of at least 55% of the full length of the complete complementary sequences of the sequences shown as SEQ ID NO. 1 to SEQ ID NO. 21. The invention also provides a detection kit and detection method of the DNA methylated molecular marker. The DNA methylated molecular marker is highly related to a lung cancer, and particularly when the DNA methylated molecular marker is used in combination, the sensitivity and specificity of detecting the benign and malignant pulmonary nodules can be further improved, the detection rate of malignant pulmonary nodules is increased, and the false positive rate of detection is reduced. Primers and probes in the kit overcome the defect that a plurality of primers and probes interfere with one another when multiple PCR amplification and detection are carried out, and the quantitative performance is equal to that of single-region quantification.

The invention relates to application of a protein TNFAIP8 in plasma small extracellular vesicles as a marker for diagnosis of proliferative diabetic retinopathy. According to the invention, the protein expression level of TNFAIP8 in plasma sEVs is discovered to be closely related to diabetic retinopathy for the first time; TNFAIP8 expression in plasma sEVs of a diabetic patient is detected and thus whether a subject has the risk of diabetic retinopathy or not can be judged more accurately and quickly, so that a prevention or treatment scheme is provided for clinicians; the protein TNFAIP8 is used as a target for preparing a medicine for treating diabetic retinopathy; a new treatment target and a new treatment way are provided for treating diabetic retinopathy. Compared with the traditionaldetection means, the provided technical scheme enables the diagnosis of the molecular biomarker to be more timely and specific, so that the retinopathy processes of diabetic patients are predicted, early intervention and treatment are carried out, and the application prospect is wide.

The invention discloses a visualization system for prediction of gynecological neoplastic disease risks. The visualization system comprises a risk prediction model construction module for acquiring gynecological related disease variables from gynecological cases, performing correlation analysis with affected gynecological events and constructing a gynecological risk prediction model based on screened risk factors; a gynecological probability prediction module, which receives an onset risk prediction request, calls a related historical disease data queue and acquires a gynecological onset probability prediction result based on the gynecological risk prediction model; and a health report generation module, which is used for generating a visual report according to a gynecological onset probability prediction result, acquired physiological index information of a user, risk factors related to the user and the contribution rate of the risk factors. According to the system, the probability ofsuffering from gynecological diseases is predicted according to the physiological indexes of a testee, indexes that determine a probability value can be visually known, and meanwhile, a data relationship among the indexes is visually displayed through cooperative visualization of a diagnosis report result.

The present invention adopts a method for detecting abnormal behavior of infants based on meanshift algorithm and SVM, firstly, the acquired infant video is preprocessed, and then the meanshift algorithm is used to track the target motion trajectory of the infant's limbs and whole body respectively in the video, and the obtained The motion trajectory information is saved, and then the motion trajectory information is extracted by the wavelet transform, a sample set is established for the extracted wavelet approximate waveform, and the set SVM support vector machine is used to train it, and the wavelet is used to obtain the power spectrum of the motion trajectory information. , the obtained features establish a sample set, which is also trained by the set SVM support vector machine, and the two trained models are tested. According to the difference in the accuracy of the two models, the data weighted fusion algorithm is used to set different weights The parameters are weighted and judged to obtain the best training results.

A method for determining the risk of an adverse pregnancy outcome for a woman is provided comprising the steps of measuring a level of TM7-H1 and optionally one or more of BVAB1, Sneathia amnii, and Prevotella cluster 2 in a vaginal sample obtained from the woman, and identifying the woman as having an increased risk for an adverse pregnancy outcome, or other adverse pregnancy outcomes, if the levels are increased compared to corresponding standard control levels. Methods for the prophylactic treatment of subjects identified as being at increased risk for an adverse pregnancy outcome are also provided.

The invention relates to a power station condenser cooling pipe steam flow excitation assessment method based on a shell side flow field, and the method comprises the steps: S1, constructing a condenser throat geometric model of a coupling low-pressure exhaust hood, and solving to obtain the steam flow distribution of the condenser throat; s2, extracting and processing flow field parameters on the outlet section of the condenser throat part in different regions; s3, the steam flow distribution of the steam on the shell side of the condenser on the vertical section is solved by taking the flow field of the throat outlet of the condenser as an inlet boundary condition for the steam to flow into the shell side of the condenser; s4, on the basis of steam flow distribution on the vertical section of the condenser shell side, steam critical transverse flow velocity distribution of all areas on the section is obtained through calculation; and S5, based on the steam critical cross flow velocity distribution of each area on the vertical section of the condenser shell side, steam flow excitation evaluation is carried out on the condenser cooling pipe. Compared with the prior art, the method has the advantages that the steam flow excitation of the cooling pipe can be evaluated in detail in the pipe bundle area, and the accuracy is higher.

The present invention discloses atherosclerosis-related cell marker molecules and their applications. The present invention utilizes single-cell sequencing combined with bioinformatics analysis methods to discover molecules that can be used to identify, characterize, and optionally enrich or isolate smooth muscle cell subpopulations. Marker molecule; the present invention also discloses that there are significant differences in the smooth muscle cell subgroup in atherosclerosis.

The invention discloses a traditional Chinese medicine composition for treating subacute thyroiditis, a subacute thyroiditis patch and a preparation method of the subacute thyroiditis patch. The traditional Chinese medicine composition comprises the following raw materials in parts by weight: 5-20 parts of rhizoma polygoni cuspidati, 7-30 parts of herba scutellariae barbatae, 5-20 parts of radix scutellariae, 7-30 parts of taraxacum mongolicum, 7-30 parts of herba violae, 3-12 parts of prepared frankincense, 3-12 parts of prepared myrrh and 1-6 parts of rheum officinale. The traditional Chinese medicine composition disclosed by the invention is simple in medicine flavor and low in price, and the subacute thyroiditis patch prepared from the traditional Chinese medicine composition has the characteristics of being simple, convenient, low in cost and effective. The subacute thyroiditis patch treats subacute thyroiditis through external application of Chinese medicine, and can intervene and control the illness state in the early stage, shorten the disease course, improve prognosis and reduce adverse reactions of the digestive tract; and compared with western medicines, the subacute thyroiditis patch is free of obvious toxic or side effect, is easily accepted by patients and has good compliance. The subacute thyroiditis patch marks a breakthrough in both the dosage and the administration mode, providing theoretical and clinical bases for external treatment of subacute thyroiditis through traditional Chinese medicine.

The invention discloses an atherosclerosis related cell marker molecule and application thereof, and the marker molecule which can be used for identifying, characterizing and optionally enriching or separating smooth muscle cell subset is found by utilizing a method of combining single cell sequencing with bioinformatics analysis. The invention also discloses that the smooth muscle cell subset has significant difference in atherosclerosis.

The invention provides a kit for detecting heredity and susceptibility mitochondria deafness genes related to a mitochondrial gene. The kit comprises a nucleic acid membrane strip and multiple PCR primers, wherein the nucleic acid membrane strip comprises a substrate made of a nylon membrane material and a specific oligonucleotide probe fixed on the substrate; the sequences of the probe are shownin SEQ ID NO:1-43; and the sequences of the multiple PCR primers are shown in SEQ ID NO:44-59. The detection kit provided by the invention can detect mutation of 22 deafness genes on the same nucleicacid membrane strip simultaneously by a reverse dot blot (RDB) technology. The kit covers the common mutation sites of the mitochondria deafness genes, can complete detection in the same day, and is amitochondria deafness virulence gene detection kit with high cost performance, high practicability, rapidness and convenience.

The invention discloses a reagent and reagent kit for detecting children asthma based on a GLCCI1 gene rs37972 site and an application. The reagent comprises a PCR reaction system, an SAP reaction system and an iPLEX extension system. The reagent kit comprises the reagent. The reagent is applied to preparation of the reagent kit for predicting the risk that children suffer from the asthma through the steps of performing PCR amplification, performing an SAP reaction, performing iPLEX extension, and performing gene sequencing, wherein if a genotype at the GLCCI1 gene rs37972 site is TT or CT, after ICS treatment, MMEF improvement is small. The reagent disclosed by the invention can be used for performing early genetics prediction on the generation of the asthma.