51 results about "Diseases history" patented technology

The invention provides a big data cloud analysis-based health prediction system, an intelligent terminal and a server. A preset health state model which is established based on user parameter data, namely basic situation data, family diseases history data and living factor data, is adopted; the health state of a user is predicted and a disease risk is assessed according to the model, and a prevention instruction plan which corresponds to an assessment result is calculated and is displayed to the user; dozens of common diseases can be predicted accurately and a plurality of risk assessments can be performed accurately based on the preset health state model. Moreover, the user can input the corresponding user parameter data on a human-computer interaction interface corresponding to the intelligent terminal or the server of the user in real time, and view the own health predication result and the corresponding prevention instruction plan, so that the convenience is high; in addition, the user can prevent the own health problems according to the prevention instruction plan, so that the health of the user is guaranteed, and the practicability is high.

The invention provides a similarity calculation system and method based on medical image features. The system comprises a patient medical image library, a normal medical image library, a disease feature library, an image feature extraction module and a similarity calculation module. The patient medical image library is used for storing medical images of patients to be diagnosed. The normal medical image library is used for storing medical images of normal persons. The disease feature library is used for storing disease image features and relative diseases symptoms and disease history information inputted by a doctor. The image feature extraction module is used for receiving and extracting the medical images of the patients and the medical images of the normal persons to compare and find lesions areas, extracting image features of the lesions areas, and sending to the similarity calculation module. The similarity calculation module is used for comparing the received image features of the lesions areas with the image features in the disease feature library, and calculating similarity, obtaining a similarity calculating result, and sending to a display module to display. By the aid of the similarity calculation system, accuracy and efficiency of diagnosis are improved effectively, and working load of doctors is reduced greatly.

The present invention relates to methods of treating subjects preparing to undergo surgery or methods of treating chronic disease and methods for reducing transfusions and a computer readable storage medium and a physical computing device for carrying out these methods which include: a) receiving a profile of said subject, in a physical computing device, including a level of hemoglobin of said subject, level of creatinine of said subject, and information regarding current or past history of disease; b) applying said level of hemoglobin and said level of creatinine, in said physical computing device, to determine level of transfusion risk; c) applying said information regarding current or past history of disease of said subject, in said physical computing device, to determine level of comorbidity; d) applying said level of hemoglobin, said level of transfusion risk, and said level of comorbidity, in said physical computing device, to determine a patient care plan.

The invention discloses a large data cardiovascular disease risk monitoring system. According to the system, personal information (including age, sex, blood pressure, height, weight, obesity index and the like) of health examinations, physical examinations and hospital treatment, and test data of blood routine, blood biochemistry and myocardial enzymes are used for monitoring the cardiovascular disease risk. The invention belongs to the application of large data in the field of health care, and further belongs to the crossing technical field of large data and health care. The invention aims at providing a simple, easy, practical and accurate cardiovascular risk monitoring system. The current monitoring of the cardiovascular disease risk is achieved mostly by enquiring a small sample amount of data collected by a questionnaire method such as disease history, family history and major risk factors for the cardiovascular disease and through the data of blood sugar collected by an instrument, total cholesterol and the like. The monitoring is controlled and managed by medical institutions and doctors so that users can not carry out the monitoring of the cardiovascular disease risk by themselves. Due to the fact that epidemiological features of a cardiovascular disease spectrum and risk factors in Chinese population are significantly different from the epidemiological features in western developed countries. The existing risk assessment tools in Europe and America are not suitable for the Chinese population. With the help of a large data value extraction technology, the large data cardiovascular disease risk monitoring system can monitor the cardiovascular disease risk for users and doctors and provide hope for human to monitor the cardiovascular disease risk by themselves and conquer the cardiovascular disease.

The invention discloses an auxiliary diagnosis system for large-scale medical records based on deep learning. The auxiliary diagnosis system comprises a cyclic neural network model, a convolutional neural network model and a fusion calculating unit. The cyclic neural network model is obtained through training the cyclic neural network based on large-scale previous medical records with a diagnosisconclusion. The convolutional neural network model is obtained through training the convolutional neural network through the artificially generated medical records, wherein the artificially generatedmedical records are based on a correspondence between diseases and symptoms in a knowledge graph and obtained through arrangement combination of disease incidence rate and symptom incidence rate. Information of gender, age, main complaint, existing disease history, previous history, personal history, family history, physique examination and auxiliary examination is input into the cyclic neural network model and the convolutional neural network model. The fusion calculating unit generates diagnosis prompt which is related with the medical record according to biological calculating results of the cyclic neural network model and the convolutional neural network model.

The invention discloses mental stress assessment and high-risk population intervention system oriented to undergraduates. The mental stress assessment and high-risk population intervention system comprises a multi-mode brain function detecting device, a mobile terminal, a network server and a monitoring client-side, wherein the multi-mode brain function detecting device is connected with the mobile terminal through a Bluetooth signal, the mobile terminal is connected with the network server through a mobile internet, and the monitoring client-side is connected with the network server through the internet. The mental stress assessment and high-risk population intervention system is based on a mobile internet technology, adopts the multi-mode brain function detecting device to acquire brain blood oxygen signals and electroencephalogram signals of the undergraduates, utilizes the mobile terminal to receive the brain blood oxygen signals and electroencephalogram signals and input family mental disease histories and earlier-stage diagnosis information of the undergraduates, then uploads the data to the network server for data processing and analysis, generates corresponding diagnosis results, feeds the results back to the mobile terminal and the monitoring client-side, achieves early finding and early treatment of the mental diseases of the undergraduates and is beneficial to early warning and intervention of the mental diseases of the undergraduates.

A method for inquiring and management disease histories by a palm computer includes such steps as creating electronic disease history database and management database in a server and the palm computer, connecting the palm computer to the server, logging on the server, choosing electronic disease history, adding, modifying or delecting the electronic disease history by the palm computer, and sending the electronic disease history from the palm computer to the server.

The invention relates to an exercise sensor-based running monitoring and voice prompt system, which comprises a data acquisition module used for collecting related data indexes in running; a state determination module for determining an exercise state by utilizing the data acquired by the data acquisition module; and a personal information module for storing basic information of a user, including age, sex, diseases history and having exercise foundation or not. With an individualized running exercise prescription as a subject and the safety and effectiveness of running and timely prompt and encouragement as a starting point, based on the purposeful modules for personal basic health information and running exercise purpose module, the motion sensor-based running monitoring and voice prompt system can scientifically evaluate, monitor and prompt the exercise state of a runner in time by utilizing related physiological data acquired by a conventional third-party wearable device in running exercise, enhancing the scientificity and interestingness of the exercise of the runner.

The invention discloses an atlantoaxial operation simulating system and method based on 3D visualization. The system comprises a database interaction module, a database module, a 3D reconstruction module, an operation plan design module, a simulated operation module, an operation risk analyzing and handling module and an after-operation analysis module. The simulation method of the simulation system comprises the steps of establishing the database, 3D reconstruction, designing an operation plan and simulating the operation and analyzing the risk. Information in the database includes name, gender, age, disease history and disease information. Image data includes scanning CT, MR and STL data of the atlantoaxial part. The system and method have the advantage of reducing the treatment risk anddifficulty effectively.

A mobile terminal including a memory configured to store at least one of first information on a disease history of a preset user and second information on a preset disease; a wireless communication unit configured to receive information obtained through a sensor of a preset external device, wherein the received information comprises at least one of third information obtained from sensing a surrounding environment of the preset external device and fourth information obtained from sensing a current state of the preset user; a display unit; and a controller configured to determine a current health-related state of the preset user using at least one of the first information, the second information and the received information, determine a cause of the current health-related state of the preset user using at least one of the first information, the second information and the received information, and output information about the determined cause of the current health-related state of the preset user.

A network with portable standard electronic disease history is composed the computers for doctors in hospital and portable elctronic disease history which is an electronic product containing the disease history of its owner. An LAN consisting of the computers of doctors and hospital server is connected with the database of province's or national disease control center. After an electronic disease history of a patient is inserted to the computer for doctor, the symptom of patient, examination result and therapeutic method can be input to the electronic disease history by doctor.

The invention provides a realization method for a standard lifestyle, which can realize the standardized healthy life by collecting information of a disease history, collecting a lifestyle history, carrying out a physical examination, assessing a health state, assessing personal health causes and results, making a standard lifestyle and carrying out other steps. The realization method for the standard lifestyle of the invention can scientifically assess a personal aging rate, an aging degree, risk and the risk factors of the future diseases and timely carry out the alarm and the prevention; the realization method of the standard lifestyle can timely adopt the control measures for initiatively preventing, lowering and reducing the occurrences of chronic diseases; the realization method for the standard lifestyle can improve a sub-health state, improve the living and working efficiency and promote quality of life; the realization method for the standard lifestyle can reduce the complications and other damages caused by the diseases of the patients with the diseases by effective quantitative management and control of risk factors. The realization method of the standard lifestyle can realize age reconstruction for healthy people, sub-healthy people and the patients with the chronic diseases.

The invention provides a method for constructing a clinical mastitis model of two bacterial types in different udder regions of dairy cows. The method comprises the following steps: selecting a Chinese Holstein dairy cow as the experimental animal, wherein the selected dairy cow is healthy, does not have disease history, is normal in body condition, has excellent breast development and is at the middle stage of lactation for the first parity, SCC is less than100000 per mL, and results of milk bacterial culture in all udder regions are negative; respectively carrying out the following treatment on four udder regions of the dairy cow: injecting 1*10<7>CFU / mL of staphylococcus aureus bacterial suspension and 1*10<6> CFU / mL of streptococcus suspension into breasts of the dairy cow via ductus papillaris by using a breast clearing needle, injecting sterile PBS in equal amount for the control group, and not carrying out treatment on a blank group; and reversely pressing the breasts from the base of each nipple from bottom to top with hands in a way that the thumbs and the index fingers are connected into a circle so that the bacterial suspensions can uniformly diffuse to lactiferous ducts and do not accumulate in gland cisterns; and attacking with bacteria for 24 hours to make sure that the dairy cow mastitis model is successfully constructed. According to the method, the influence of individual difference on tests can be completely eliminated.

The invention relates to a monitoring system for stroke people, including a first mobile computing device, a second mobile computing device and a cloud service platform. First mobile computing equipment carried by a stroke person is used for collecting external environment information, limb movement information, language information and / or physiological information of the stroke person, and secondmobile computing equipment carried by a guardian is used for inputting disease history information, life record information and rehabilitation treatment information of the stroke person. The cloud service platform comprises a stroke person configuration file, an emotional state analysis module, a rehabilitation module and a database. When the information in the external environment information, the limb movement information, the language sound information and / or the physiological information exceeds a first threshold value, an early warning prompt is sent to a guardian through the second mobile computing device, limb feature parameters in the configuration file of the stroke person are updated according to limb movement information of the stroke person, and language feature parameters inthe configuration file of the stroke person are updated according to language information of the stroke person.

A method of predicting the development of a cancer in a patient, comprises procuring a sample of tumour tissue from the patient, determining the expression pattern of embryonic stem cell genes in the tissue, comparing the expression pattern with the corresponding expression pattern of embryonic stem cell genes in tumour tissue of reference patients with known disease histories. Also disclosed are microarrays and DNA / RNA probes for use in the method.

The invention discloses a survival authentication method and system based on data restoration and active learning verification. The method comprises steps of reading information of each retired medical insurance card, and storing the retired medical insurance card information into a survival authentication information database; identifying face information of each retired person, and storing the face information of the retired persons into a survival authentication information database; repairing and complementing the personal basic information of the survival authentication information database; performing authenticity verification on occupational information and personal economic information in the survival authentication information database; performing authenticity verification on theface information in the survival authentication information database; repairing and complementing the disease history information and the recent health condition information in the survival authentication information database; and realizing survival authentication through active learning verification by utilizing data in the repaired, completed and verified updated survival authentication information database.

The invention provides a recognition method, device and terminal for disease classification information and a computer storage medium. The recognition method comprises the steps of obtaining identityrecognition information of a user; determining disease history data corresponding to the identity recognition information according to the identity recognition information, wherein the disease historydata is original data stored in the database; obtaining coding format information of the disease history data; judging whether the coding format information conforms to coding format requirements ofthe preset standard international classification of diseases ICD-10 or not by using a preset coding database; if the coding format information conforms to the coding format requirements of the standard international classification of diseases ICD-10, determining disease classification information corresponding to the disease history data according to the standard international classification of diseases ICD-10. The disease history data can be analyzed and recognized through the preset coding database, and each piece of the disease history data is analyzed and recognized according to the standard international classification of diseases ICD-10, thereby ensuring the accuracy and reliability of disease classification information recognition.

The invention relates to a Chinese patent medicine for remedying dermatosis, taking Ajuga decumbens Thunb, Ipomoea cairica and scorpion as raw materials. The materials is crushed and sieved, and then mixed and stirred together with supplementary materials, and at last the plaster is made. The Chinese patent medicine has function of remedying various dermatosis, neurodermatitis and psoriasis. No matter how old the patients are and how long the disease history is, the patients all can be cured.

The invention belongs to the technical field of an information predicting model, and discloses an esophageal squamous cell carcinoma incidence risk predicting method, a constructing method and application. The esophageal squamous cell carcinoma incidence risk predicting module is: Y=5.5*age50-59 / 8.0*age60-69+1.5*male+2.5*(upper gastrointestinal cancer family history)+1.5*smoking(30pack-year / 2.5*smoking>=pack-year+1.5*(pickled food intake frequency)>=1 / week+1.0*(fresh fruit intake frequency)<1 / week+2.5*(oesophagus clinical symptom+1.5*(upper gastrointestinal tract related disease history). Themodel provided by the invention can further improve sensitivity, specificity and positive predicted value under a precondition that the participated clinical screening number (high-risk population portion) is not increased, and furthermore reduces the number of persons who require clinical screening in finding one esophageal squamous cell carcinoma patient, namely the method provided by the invention can further improve screening efficiency.

The invention relates to the technical field of artificial intelligence and provides an automatic information input method, an automatic information input system, an automatic information input deviceand a storage medium. The method comprises the steps: obtaining the audio of a doctor-patient question and answer, carrying out the processing of the audio through employing the automatic speech recognition technology and the natural language processing technology, and extracting the main complaint information of patients, wherein the main complaint information comprises patient-related symptoms,disease history and medication history; obtaining videos of questions and answers of doctors and patients, processing the videos by utilizing the face recognition technology, and extracting body states, mental states and emotions of patients; processing the examination document of patients by using the OCR technology, and extracting the examination indexes of patients; displaying the extracted main complaint information, the physical states, the mental states, the emotion and examination indexes of the patients on an interaction interface with a doctor as an alternative, so as to convenientlyand directly click and input the information into a clinical decision support system. By utilizing the method, the problem that a clinical decision support system is difficult to popularize can be solved.

The invention belongs to the technical field of intelligent health archive management and application, and discloses a method for constructing a full-life-cycle resident intelligent health archive and a system thereof, and the system comprises a vital sign data collection module, an AI auxiliary decision module, a personal disease prediction module, a family history and disease history analysis module, and a personal health feature display module. According to the system for constructing the full-life-cycle resident intelligent health archive provided by the invention, a whole-people health information platform with complete functions is constructed on the basis of interconnection and intercommunication; and information such as living habits, past medical histories, diagnosis and treatment conditions, family medical histories, current medical histories, physical examination results, occurrence, development, treatment and outcome processes of diseases and the like of each person is collected into a personal health record. Through the information, full-life-cycle resident intelligent health archive management and application can be realized by means of a health medical big data platform and artificial intelligence, and health medical service efficiency and quality are improved.

The invention relates to a vitligo treatment medicine. Vitligo is a common multiple acquired pigmentary skin disease, and is characterized by localized or generalized depigmentation. Vitligo is a skin disease easy to diagnose and difficult to treat, the pathogenesis of the vitligo is not clear, the treatment of the vitligo is still difficult until now, and no therapy can completely cure patients with the vitligo both at home and abroad. The novel vitligo treatment medicine is composed of Lithospermum erythrorhizon, Rhizoma Paridis, Salvia miltiorrhiza, Ligusticum wallichii, Commom Duckweed and Diverse Wormwood Herb, and can be processed through traditional y pharmaceutical technologies to prepare a tablet, powder, pill, granule or capsule in the pharmaceutics. The medicine is suitable for patients of all disease histories, is especially suitable for patients with the disease history of above 6 months, and has a definite treatment effect on vitiligo in thick stratum corneum positions of fingers, toes and the like.

The invention provides a colorectal cancer self-service screening system and method based on image recognition, a terminal and a medium, and provides an information filling electronic template for a screening object to fill in an informed agreement, a risk assessment questionnaire, personal information and related symptoms and disease histories on line; according to dwelling address information in the personal information, a screening service mechanism is correspondingly allocated to the screening object for the screening object to get the fecal occult blood detection device with the ID number, and the ID number of the fecal occult blood detection device is associated with the personal information of the corresponding screening object; and reading and identifying a detection result image of the fecal occult blood detection device to obtain a colorectal cancer screening result of a screening object associated with the fecal occult blood detection device. A screening object can complete signing of an informed agreement, filling of a risk assessment questionnaire, distribution of a screening service mechanism, reservation receiving of a fecal occult blood detection device, online interpretation of a fecal occult blood result, feedback of a preliminary screening result, diagnostic enteroscopy notification and the like in a self-service manner, and the screening accuracy and convenience are greatly improved.

The invention relates to an on-line control method of a disease history data information system, which comprises the following steps: verifying a user, collecting the function selection of the user, matching the function selection of the user, providing the browsing if the user selects the browsing, or providing downloading if selects the downloading, or providing uploading if selects the uploading. Compared with the prior art, the method has comprehensive functions, the functions of uploading, downloading and browsing disease history data, and uniformed format with DICOM 3.0 standard format, and supports literal type or image type disease history data.

The invention relates to a quantitative analysis method for morbidity risk factors of old-age lung cancer, and belongs to the technical field of medical biological information processing. The method integrates relevant data of the investigated object, such as demographic data, smoking habits, disease history, radiation exposure and behavioral risk relevant data; aiming at the problem that the actual number of patients suffering from the lung cancer is far lower than the number of non-patients, data imbalance processing is carried out, and then the data is preprocessed and layered; a deep neural network method is used to train models of the senile hierarchical data, respective risk factors are recognized, and quantitative analysis of the risk factors of the senile lung cancer is carried out. The method has the advantages of high precision and high calculation speed, and can be used for high-speed calculation of large-scale data; the method has the advantages of quantitative analysis and high accuracy, and is simple to operate.

The invention discloses a stroke risk assessment method and system based on related risk factors, and the method comprises the following steps: 1), collecting risk factor information and genetic information of an assessed person, and enabling the risk factor information to include personal information, disease history information, physiological and biochemical information and living habit information, wherein each type of information further comprising a plurality of information items, each information item can comprise one or more labels, and corresponding risk factor values (Value) are set for the labels and / or the information items, and (2) calculating a risk score f according to the risk factor information of the assessed person and the corresponding risk factor values of the genetic information.

The invention provides a fermentation method of human intestinal flora and application. The method comprises the following steps of a, donor screening, wherein boys who are twelve to fourteen years old, are in good health, do not have the serious disease history or obvious gastrointestinal tract symptoms, do not take any antibiotics in at least six months and have a regular life are screened out;b, sample collection and treatment, wherein fresh excrement of the donors is collected, quickly transferred to an anaerobic working station and weighed, a pre-reduction sterile saline solution is added according to a proportion, and even mixing with sufficient vortex is conducted; then filtering is conducted, and an excrement suspension solution is collected; c, fermentation, wherein the excrementsuspension solution is transferred to a sterile serum bottle, sealed and placed in a culture box for standing fermentation. According to the fermentation method, the obtained pH-acidity fermentationproduct with multiple rich probiotics is a kind of optimized healthy human intestinal flora and can be applied to the excrement bacterium transplantation technology and development of medicines, health care products and the like with the human intestinal flora as a target point.

The invention provides a cancer prediction system based on an early cancer screening questionnaire and a feedforward neural network, and the system comprises a data obtaining module which is configured to obtain sample data of the questionnaire, and the sample data comprises patient lifestyle, individual disease history, cancer family history, environmental factors and pathological data collected by the questionnaire; the feature extraction module is configured to extract feature data of the sample data; and the cancer probability prediction module is configured to obtain a cancer prediction probability by adopting a trained cancer prediction model based on the feature data.