Current Research and Prospects on Postmortem Interval Estimation.
10.12116/j.issn.1004-5619.2018.05.002
- Author:
Qi WANG
1
;
Han Cheng LIN
2
;
Ji Ru XU
3
;
Ping HUANG
4
;
Zhen Yuan WANG
2
Author Information
1. Teaching and Research Section of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
2. School of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
3. School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
4. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
- Publication Type:Review
- Keywords:
artificial intelligence;
big data;
forensic pathology;
postmortem interval;
review
- MeSH:
Autopsy;
Forensic Pathology;
Forensic Sciences;
Humans;
Postmortem Changes;
Time Factors
- From:
Journal of Forensic Medicine
2018;34(5):459-467
- CountryChina
- Language:Chinese
-
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.
