METHOD AND SYSTEM FOR SUPPORTING MEDICAL DECISIONS BASED ON HYBRID MODEL OF DIAGNOSIS, PREDICTION OF RISKS OF COMPLICATIONS, CLINICAL DIAGNOSIS, DIFFERENTIAL DIAGNOSIS AND DETERMINATION OF PATIENT MANAGEMENT
2023-11-02
专利权人SOTSMEDIKA STOCK CO (SOTS-Non-standard)
申请日期2023-11-02
专利号RU2828464-C1
成果简介NOVELTY - Present solution relates to medical decision support systems using artificial intelligence technologies. Disclosed is an intelligent medical decision support system, wherein the system provides: obtaining input data from an electronic medical record (EMR) of a patient, which includes data selected from the group: at least one examination protocol presented in text format or in tabular format, parametric data, parametric data array, at least one medical image or combinations thereof; processing input data using a preprocessing module, which comprises: a text data processing module based on a machine learning model, providing data processing in natural language and determination of symptoms of at least one disease; medical image processing module, comprising: a data classification model, which classifies incoming images and determines the type of at least one machine learning model processing the corresponding anatomical region selected from the cascade of models; cascade of machine learning models, each of which performs detection and extraction of symptoms of at least one disease based on processing of corresponding anatomical region on incoming medical images; generating a list of symptoms of at least one disease of the patient, obtained based on the processing of the data by the preprocessing module; processing of the obtained list of symptoms using a module for determining nosologies, which provides diagnosis and prediction of diseases of the patient, wherein the nosology determination module comprises a concurrently operating nosology search module based on an algorithmic method, and a nosology search module based on a machine learning model. USE - Computer technologies. ADVANTAGE - Invention provides higher accuracy of automated diagnosis, including clarification of the diagnosis of the underlying disease, its complications and comorbidities, as well as the possibility of predicting the risks of developing other pathologies. 6 cl, 7 dwg, 2 tbl
IPC 分类号G06F-040/20 ; G06N-003/02 ; G06T-007/00 ; G16H-010/00
国家俄罗斯
专业领域生物科学
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19370
专题中国科学院新疆生态与地理研究所
作者单位
SOTSMEDIKA STOCK CO (SOTS-Non-standard)
推荐引用方式
GB/T 7714
BLEDZHYANTS G A,GAINULLINA R N,HUSEYNOV M K,et al. METHOD AND SYSTEM FOR SUPPORTING MEDICAL DECISIONS BASED ON HYBRID MODEL OF DIAGNOSIS, PREDICTION OF RISKS OF COMPLICATIONS, CLINICAL DIAGNOSIS, DIFFERENTIAL DIAGNOSIS AND DETERMINATION OF PATIENT MANAGEMENT. RU2828464-C1[P]. 2023.
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