{"title":"Genealogical diagnostics of neoplasms based on artificial intelligence systems","authors":"Aleh Kuzniatsou, О. Е. Кузнецов","doi":"10.29235/1814-6023-2023-20-3-236-242","DOIUrl":null,"url":null,"abstract":"The compilation and analysis of the patient’s genealogies is one of the methods of population genetics, which makes it possible to identify a predisposition to a particular oncological pathology. At present, it is relevant to prove the feasibility of developing and introducing into clinical practice a comprehensive method for diagnosing and preventing tumors based on data from genetic counseling, molecular biological research and modern artificial intelligence technologies. An information-analytical system is proposed that allows analyzing the patient’s data obtained during the consultation, with the possibility of supplementing them with information from the medical history and the results of the study. The proposed information system is able to analyze of the genealogy and give a preliminary conclusion about the risk of a tumor process in the patient’s family members, according to the algorithms of the morbidity accumulated in the region.","PeriodicalId":20584,"journal":{"name":"Proceedings of the National Academy of Sciences of Belarus, Medical series","volume":"53 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the National Academy of Sciences of Belarus, Medical series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29235/1814-6023-2023-20-3-236-242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The compilation and analysis of the patient’s genealogies is one of the methods of population genetics, which makes it possible to identify a predisposition to a particular oncological pathology. At present, it is relevant to prove the feasibility of developing and introducing into clinical practice a comprehensive method for diagnosing and preventing tumors based on data from genetic counseling, molecular biological research and modern artificial intelligence technologies. An information-analytical system is proposed that allows analyzing the patient’s data obtained during the consultation, with the possibility of supplementing them with information from the medical history and the results of the study. The proposed information system is able to analyze of the genealogy and give a preliminary conclusion about the risk of a tumor process in the patient’s family members, according to the algorithms of the morbidity accumulated in the region.