- A risk prediction model based on machine learning algorithms and nomograms was used to predict the risk of resilience using qualitative and quantitative minor physical anomalies in schizophrenia patients.
- The predictors of the model were identified by feature selection algorithms based on varSelRF.
Disclaimer: Results from the calculator should only be used in conjunction with all other clinical information on each case and only for research.
Sheng-Hsiang Lin, Ph.D.
Laboratory of Genetic Psychiatric Epidemiology and Biostatistics
Institute of Clinical Medicine
National Cheng Kung University
Tainan, Taiwan
shlin9[email protected]
Laboratory of Genetic Psychiatric Epidemiology and Biostatistics
Institute of Clinical Medicine
National Cheng Kung University
Tainan, Taiwan
shlin9[email protected]
Copyright © 2024 Dr. Sheng-Hsiang Lin. All rights reserved.