死亡时间推断最新研究与展望  

Current Research and Prospects on Postmortem Interval Estimation

作　　者：王琪 林汉成 徐纪茹 黄平 王振原 WANG Qi;LIN Han-cheng;XU Ji-ru;HUANG Ping;WANG Zhen-yuan(Teaching and Research Section of Forensic Medicine,College of Basic Medicine,Chongqing Medical University,Chongqing 400016,China;School of Forensic Medicine,Xi’an Jiaotong University Health Science Center,Xi’an 710061,China;;School of Basic Medical Sciences,Xi’an Jiaotong University Health Science Center,Xi’an 710061,China;Shanghai Key Laboratory of Forensic Medicine,Shanghai Forensic Service Platform,Academy of Forensic Science,Shanghai 200063,China)

机构地区：[1]重庆医科大学基础医学院法医学教研室,重庆400016 [2]西安交通大学医学部法医学院,陕西西安710061 [3]西安交通大学医学部基础医学院,陕西西安710061 [4]司法鉴定科学研究院上海市法医学重点实验室上海市司法鉴定专业技术服务平台,上海200063

出　　处：《法医学杂志》2018年第5期459-467,共9页Journal of Forensic Medicine

基　　金：国家自然科学基金重点资助项目(81730056);国家自然科学基金优秀青年基金资助项目(81722027)

摘　　要：死亡时间推断相关研究在法医学领域中有着极为重要的地位和意义,一直是法医病理学实践中亟待解决的重大问题之一。传统的方法与手段存在许多缺陷,新方法的引入势在必行。随着各种新技术的涌现,关于死亡时间推断的研究有着从简单到复杂的趋势,数据量也随之不断增长。本文首先总结了既往死亡时间推断的方法,最后对基于大数据人工智能算法在法医学死亡时间推断研究中的应用进行了展望。The researches on postmortem interval(PMI)estimation are very important and meaningful in forensic science.PMI estimation is also an important issue that must be solved in practice of forensic pathology.There are many defects existing in traditional methods for PMI estimation,so it is imperative to introduce new pathways.With the emergence of various new technologies,the researches on PMI estimation have a tendency from simple to complex with a growth of data.The present review firstly summarizes a series of methods used for PMI estimation,and then gives an outlook for the application of artificial intelligence algorithms in this field.

关 键 词：法医病理学 死亡时间 大数据 人工智能 综述 

分 类 号：DF795.1[医药卫生—法医学]