Application of Medical Statistical and Machine Learning Methods in the Age Es-timation of Living Individuals
10.12116/j.issn.1004-5619.2023.231103
- VernacularTitle:医学统计和机器学习方法在活体年龄推断中的应用
- Author:
Dan-Yang LI
1
;
Yu PAN
;
Hui-Ming ZHOU
;
Lei WAN
;
Cheng-Tao LI
;
Mao-Wen WANG
;
Ya-Hui WANG
Author Information
1. 司法鉴定科学研究院 上海市法医学重点实验室 司法部司法鉴定重点实验室 上海市司法鉴定专业技术服务平台,上海 200063;山西医科大学医学科学院,山西 太原 030000;山西医科大学公共卫生学院,山西 太原 030000;山西医科大学法医学院,山西 晋中 030600
- Keywords:
forensic anthropology;
medical statistics;
machine learning;
age estimation;
skeletal age;
den-tal age;
review
- From:
Journal of Forensic Medicine
2024;40(2):118-127
- CountryChina
- Language:Chinese
-
Abstract:
In the study of age estimation in living individuals,a lot of data needs to be analyzed by mathematical statistics,and reasonable medical statistical methods play an important role in data design and analysis.The selection of accurate and appropriate statistical methods is one of the key factors af-fecting the quality of research results.This paper reviews the principles and applicable principles of the commonly used medical statistical methods such as descriptive statistics,difference analysis,consistency test and multivariate statistical analysis,as well as machine learning methods such as shallow learning and deep learning in the age estimation research of living individuals,and summarizes the relevance and application prospects between medical statistical methods and machine learning methods.This paper aims to provide technical guidance for the age estimation research of living individuals to obtain more scientific and accurate results.
