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

Similar patents RU2800315C2

Title Year Author Number
METHOD FOR STRATIFICATION OF ELDERLY PATIENTS AGED 90 YEARS AND OLDER BY BELONGING TO CLASS SELECTED FROM: MULTIMORBID, PRESERVED, METABOLIC, DEMENT, LOW-FUNCTIONAL 2023
  • Mamchur Aleksandra Aleksandrovna
  • Bruttan Mariya Vyacheslavovna
  • Ivanov Mikhail Vyacheslavovich
  • Sharashkina Natalya Viktorovna
  • Erema Veronika Vyacheslavovna
  • Kashtanova Darya Andreevna
  • Zelenova Elena Andreevna
  • Shelli Eva Mariya
  • Ostapenko Valentina Sergeevna
  • Dzhumaniyazova Irina Khamrabekovna
  • Yudin Vladimir Sergeevich
  • Akopyan Anna Aleksandrovna
  • Strazhesko Irina Dmitrievna
  • Majtesyan Lilit Varshamovna
  • Tarasova Irina Vitalevna
  • Beloshevskaya Olga Anatolevna
  • Keskinov Anton Arturovich
  • Kraevoj Sergej Aleksandrovich
  • Tkacheva Olga Nikolaevna
  • Yudin Sergej Mikhajlovich
RU2829542C1
SYSTEM FOR SUPPORTING MEDICAL DECISION-MAKING 2020
  • Gusev Aleksandr Vladimirovich
  • Novitskij Roman Edvardovich
RU2752792C1
METHOD FOR BUILDING UNIFIED INFORMATION SPACE FOR PRACTICAL DOCTOR 2004
  • Chereshnev Valerij Aleksandrovich
  • Gajnanov Damir Nasibullovich
  • Arguchinskaja Ol'Ga Nikolaevna
  • Jurchenko Ljubov' Nikolaevna
  • Ponikarovskikh Aleksandr Ehduardovich
  • Gusev Evgenij Jur'Evich
RU2299470C2
MEDICAL SYSTEM FOR REMOTE MONITORING, ANALYSIS AND PREDICTION OF CONDITION OF PATIENT BY SEQUENCE OF ELECTROCARDIOGRAMS OF HEART FROM FIRST DEFLECTION AND COMPUTERISED METHOD FOR MONITORING, ANALYSIS AND PREDICTION OF CONDITION OF PATIENT 2018
  • Shmid Aleksandr Viktorovich
  • Berezin Andrej Aleksandrovich
  • Novopashin Maksim Aleksandrovich
  • Zimina Ekaterina Yurevna
RU2752707C1
METHOD OF SELECTING HIGH-RISK GROUP FOR FORMING AGE GROUPS OF CHILDREN WITH CHRONIC PATHOLOGY 1999
  • Krynochkina M.Ju.
  • Berezhanskaja S.B.
  • Amelina S.S.
  • Spivak I.G.
RU2172139C2
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
  • Bledzhiants Gevorg Armenakovich
  • Gainullina Raushaniia Nurgaleevna
  • Guseinov Muslim Kamaludinovich
  • Ladan Sviatozar Viktorovich
  • Sverdlov Kirill Anatolevich
  • Shliapnikov Mikhail Mikhailovich
  • Sapakova Amina Kamzaevna
  • Panosian Artem Varazdatovich
RU2828464C1
AUTOMATED DIAGNOSTIC TECHNIQUE FOR DISEASES 2013
  • Chikalo Oleg Vladimirovich
RU2540831C2
METHOD FOR AMALYZING MEDICAL DATA USING NEURAL NET LogNNet 2021
  • Velichko Andrei Aleksandrovich
  • Velichko Tatiana Vasilevna
RU2754723C1
METHOD OF BIOHYBRID SCREENING OF LUNG CANCER, STOMACH CANCER, DIABETES MELLITUS AND PULMONARY TUBERCULOSIS BY EXHALED AIR 2022
  • Sinyutina Olga Nikolaevna
  • Savolyuk Antonina Vasilevna
  • Mishin Nikita Aleksandrovich
  • Medvedev Dmitrij Sergeevich
RU2797334C1
METHOD FOR ASSESSING THE RISK OF DEVELOPING ALZHEIMER'S DISEASE USING A PANEL OF BLOOD PROTEINS 2021
  • Kononikhin Aleksej Sergeevich
  • Semenov Savva Dmitrievich
  • Brzhozovskij Aleksandr Gennadevich
  • Gavrilova Svetlana Ivanovna
  • Borkhers Kristof Germann
  • Nikolaev Evgenij Nikolaevich
RU2794040C1

RU 2 800 315 C2

Authors

Novitskij Roman Edvardovich

Gusev Aleksandr Vladimirovich

Dates

2023-07-20Published

2021-12-27Filed