中国司法鉴定Issue(3)：32-40,9.DOI:10.3969/j.issn.1671-2072.2024.03.005
基于机器学习的法医微生物研究现状
Status of Forensic Microbiology Research Based on Machine Learning
摘要
Abstract
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.关键词
法医学/微生物/人工智能/机器学习算法Key words
forensic science/microbiology/artificial intelligence(AI)/machine learning(ML)algorithm分类
社会科学引用本文复制引用
张立为,王甜,余代静,张君,严江伟..基于机器学习的法医微生物研究现状[J].中国司法鉴定,2024,(3):32-40,9.基金项目
国家自然科学基金项目(82030058,82101977). （82030058,82101977）
