Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients

Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients

Post-stroke depression and anxiety, collectively known as post-stroke adverse mental outcome (PSAMO) are common sequelae of stroke. About 30% of stroke survivors develop depression and about 20% develop anxiety. Stroke survivors with PSAMO have poorer health outcomes with higher mortality and greate...

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Bibliographic Details
Main Authors: Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Ru-San Tan, Yam Meng Chan, Lai Gwen Chan, Udyavara Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
automated risk prediction
post-stroke adverse mental outcome
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/1424-8220/23/18/7946

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https://www.mdpi.com/1424-8220/23/18/7946

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