Predicting new-onset post-stroke depression from real-world data using machine learning algorithm

INTRODUCTION: Post-stroke depression (PSD) is a serious mental disorder after ischemic stroke. Early detection is important for clinical practice. This research aims to develop machine learning models to predict new-onset PSD using real-world data. METHODS: We collected data for ischemic stroke pati...

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Detalles Bibliográficos
Autores principales: Chen, Yu-Ming, Chen, Po-Cheng, Lin, Wei-Che, Hung, Kuo-Chuan, Chen, Yang-Chieh Brian, Hung, Chi-Fa, Wang, Liang-Jen, Wu, Ching-Nung, Hsu, Chih-Wei, Kao, Hung-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315461/
https://www.ncbi.nlm.nih.gov/pubmed/37404713
http://dx.doi.org/10.3389/fpsyt.2023.1195586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315461/
https://www.ncbi.nlm.nih.gov/pubmed/37404713
http://dx.doi.org/10.3389/fpsyt.2023.1195586

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