Research progresses of machine learning based on functional MRI for diagnosis and treatment of schizophrenia
10.13929/j.issn.1003-3289.2023.12.036
- VernacularTitle:基于功能MRI机器学习用于诊断和治疗精神分裂症研究进展
- Author:
Chenyu LIU
1
;
Sumiao ZHOU
;
Yun YI
;
Yuanyuan HUANG
;
Hehua LI
;
Shixuan FENG
;
Junhao LI
;
Fengchun WU
Author Information
1. 广州医科大学附属脑科医院精神科,广东广州 510370
- Keywords:
schizophrenia;
machine learning;
magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2023;39(12):1898-1901
- CountryChina
- Language:Chinese
-
Abstract:
Schizophrenia(SZ)is a serious mental illness,and traditional diagnostic methods are prone to missed and misdiagnosis.Using machine learning(ML)algorithms can extract SZ relative features from functional MRI(fMRI)data,hence being helpful for diagnosing and predicting treatment response of SZ.The research progresses of ML based on fMRI for diagnosis and treatment of SZ were reviewed in this article.
