Genealogical diagnostics of neoplasms based on artificial intelligence systems

Aleh Kuzniatsou, О. Е. Кузнецов
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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.
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基于人工智能系统的肿瘤谱系诊断
对患者的家谱进行汇编和分析是群体遗传学的一种方法,这使得确定特定肿瘤病理的易感性成为可能。目前,基于遗传咨询、分子生物学研究和现代人工智能技术的数据,开发出一种综合性的肿瘤诊断和预防方法,并将其引入临床实践,具有重要的可行性。提出了一种信息分析系统,可以分析患者在咨询期间获得的数据,并有可能从病史和研究结果中补充信息。所提出的信息系统能够根据该地区累积的发病率算法,对患者的家族成员进行谱系分析,并给出肿瘤过程风险的初步结论。
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CiteScore
0.40
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0.00%
发文量
35
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