Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients.
Chien Wei OeiEddie-Yin-Kwee NgMatthew Hok Shan NgRu San TanYam Meng ChanLai Gwen ChanUdyavara Rajendra AcharyaPublished in: Sensors (2023)
Keyphrases
- acute coronary syndrome
- patient data
- chronic disease
- high risk
- demographic data
- kaplan meier
- false discoveries
- prediction accuracy
- prediction model
- prediction algorithm
- ischemic stroke
- health information systems
- risk management
- health care
- artificial neural networks
- prognostic models
- risk factors
- risk measures
- age groups
- neural network
- outcome prediction
- expected utility
- chinese characters
- clinical data
- human brain