METHOD OF EARLY DIAGNOSTICS OF CHRONIC DISEASES OF A PATIENT BASED ON CLUSTER ANALYSIS OF BIG DATA Russian patent published in 2023 - IPC A61B5/00 G16H10/60 G16H50/20 

Abstract RU 2800315 C2

FIELD: medicine, information and communication technologies for processing medical data.

SUBSTANCE: invention relates to a method of early diagnosis of a patient's chronic diseases based on cluster analysis of big data. A method of early diagnostics of a patient's chronic diseases is proposed, it is performed on a computing device containing a processor and a memory that stores instructions executed by the processor and containing the following steps: depersonalized medical data of an electronic medical record is received from a medical information system to a computing device; using the computing device, medical and social signs about the patient's health status are extracted, as well as signs of risk factors through Natural language processing; the extracted features are fed to the input of the trained ensemble of classifiers to assign the features to the probability class of the presence of chronic diseases, while training the classifier ensemble consists in training at least one classifier for at least one chronic disease and contains the following steps. The extracted medical and social signs about the patient's health status are divided into groups. The division of the received groups into clusters is carried out according to the diseases diagnosed in them, according to the data of the electronic medical record and medical and social signs about the state of health of the patient, the groups are combined into clusters with common diagnoses; the values of medical and social signs about the patient's health status and signs of risk factors in each cluster are obtained according to which the extracted signs will be assigned to the classes of probability of the presence of chronic diseases. An assessment of the risk of developing complications of chronic diseases is carried out. At the output of the ensemble of classifiers, a probability class for the presence of chronic diseases is obtained, according to the ICD class, and an assessment of the risk of developing complications of chronic diseases is also obtained.

EFFECT: invention provides improved accuracy of early diagnosis of a patient's chronic diseases and determination of the risk of developing complications of chronic diseases.

4 cl, 1 dwg

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Authors

Novitskij Roman Edvardovich

Gusev Aleksandr Vladimirovich

Dates

2023-07-20Published

2021-12-27Filed