Modeling of human behavior in norm and mental pathology

Author:

Demidova L. Yu.1ORCID,Akhapkin R. V.1ORCID,Tkachenko A. A.2ORCID

Affiliation:

1. V. Serbsky National Medical Research Centre for Psychiatry and Narcology

2. V. Serbsky National Medical Research Centre for Psychiatry and Narcology; Sechenov First Moscow State Medical University (Sechenov University)

Abstract

Active development of scientific technologies and the digital transformation of the healthcare service promise a serious breakthrough in understanding the norm and pathology, assessing the risks of diseases or specific mental conditions, predicting their course and possible consequences. In other words, there are hopes that in the nearest future science allows modeling and predicting of complex human behavior at least in some contexts. The article analyzes the progress in the field of human behavior modeling in medicine and, particularly, in psychiatry, for which the explanation of behavioral disorders is the most relevant. 1175 publications were reviewed and 74 of them were selected for further analysis of the exiting methods for human behavior modeling in norm and mental pathology. The article highlights the possibilities of human behavior modeling and its most promising prospects. The possibilities of such modeling at the present time are limited. Most part of the created models have no sufficient verification and are unsuitable for solving real practical problems. In addition, science progress is far from explaining complex variants of human behavior, and it is unclear if it is possible to model such behavior using computer architecture, which is significantly different from biological. Various behavioral models are considered, that allow to solve specific practical tasks in psychiatry and healthcare system, and therefore seem to be the most promising.

Publisher

Sechenov University

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3