死亡时间推断最新研究与展望

Qi Wang; Han Cheng Lin; Ji Ru Xu; Ping Huang; Zhen Yuan Wang

doi:10.12116/j.issn.1004-5619.2018.05.002

死亡时间推断最新研究与展望

Translated title of the contribution: Current Research and Prospects on Postmortem Interval Estimation

Qi Wang
, Han Cheng Lin
, Ji Ru Xu
, Ping Huang
, Zhen Yuan Wang

Health Science Center

Research output: Contribution to journal › Review article › peer-review

24 Scopus citations

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.

Translated title of the contribution	Current Research and Prospects on Postmortem Interval Estimation
Original language	Chinese (Traditional)
Pages (from-to)	459-467
Number of pages	9
Journal	Journal of Forensic Medicine
Volume	34
Issue number	5
DOIs	https://doi.org/10.12116/j.issn.1004-5619.2018.05.002
State	Published - Oct 2018

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@article{b1a833ccf7a149e89a80962abe16884b,

title = "死亡时间推断最新研究与展望",

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.",

keywords = "Artificial intelligence, Big data, Forensic pathology, Postmortem interval, Review",

author = "Qi Wang and Lin, \{Han Cheng\} and Xu, \{Ji Ru\} and Ping Huang and Wang, \{Zhen Yuan\}",

note = "Publisher Copyright: {\textcopyright} 2018 by the Editorial Department of Journal of Forensic Medicine.",

year = "2018",

month = oct,

doi = "10.12116/j.issn.1004-5619.2018.05.002",

language = "繁体中文",

volume = "34",

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T1 - 死亡时间推断最新研究与展望

AU - Wang, Qi

AU - Lin, Han Cheng

AU - Xu, Ji Ru

AU - Huang, Ping

AU - Wang, Zhen Yuan

PY - 2018/10

Y1 - 2018/10

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Big data

KW - Forensic pathology

KW - Postmortem interval

KW - Review

UR - https://www.scopus.com/pages/publications/85057085670

U2 - 10.12116/j.issn.1004-5619.2018.05.002

DO - 10.12116/j.issn.1004-5619.2018.05.002

M3 - 文献综述

C2 - 30468046

AN - SCOPUS:85057085670

SN - 1004-5619

VL - 34

SP - 459

EP - 467

JO - Journal of Forensic Medicine

JF - Journal of Forensic Medicine

IS - 5

ER -

死亡时间推断最新研究与展望

Abstract

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