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Review
. 2018 Oct;34(5):459-467.
doi: 10.12116/j.issn.1004-5619.2018.05.002. Epub 2018 Oct 25.

Current Research and Prospects on Postmortem Interval Estimation

[Article in Chinese, English]
Affiliations
Free article
Review

Current Research and Prospects on Postmortem Interval Estimation

[Article in Chinese, English]
Q Wang et al. Fa Yi Xue Za Zhi. 2018 Oct.
Free article

Abstract

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.

题目: 死亡时间推断最新研究与展望.

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。.

关键词: 法医病理学;死亡时间;大数据;人工智能;综述

Keywords: artificial intelligence; big data; forensic pathology; postmortem interval; review.

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Conflict of interest statement

The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose.

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