Status of Forensic Microbiology Research Based on Machine Learning
Microorganisms are widely present in nature and in human body.Their diverse community distribution provides new possibilities for solving forensic science challenges.As one of the main tools in artificial intelligence,machine learning plays a crucial role in data identification,processing and analysis,providing new ideas and methods for forensic microbiology research.This paper introduces various machine learning(ML)algorithms and related models,including supervised learning,unsupervised learning and deep learning,which have been widely used in recent forensic microbiology studies,and summarizes relevant studies on individual identification,postmortem interval inference,geographic location traceability.In addition,this paper systematically analyses challenges faced by machine learning algorithms in standardization,database establishment and evidence interpretation in forensic microbiology research,and discusses its application in forensic microbiology.
国家科技期刊平台
NSTL
万方数据
