Risk Prediction Model
Risk prediction model for treatment-resistant schizophrenia
A dynamic nomogram calculator based on minor physical anomalies
  Prediction
A nomogram-based prediction model was developed to estimate the risk of treatment-resistant schizophrenia using both qualitative and quantitative minor physical anomalies.
Facial Analysis with XGBoost and LIME
Minor Physical Variables
Prediction Probability
0%
Feature Importance Analysis LIME Feature Importance Chart
Disclaimer: Results from the calculator should only be used in conjunction with all other clinical information on each case and only for research.
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Sheng-Hsiang Lin, Ph.D.
Laboratory of Genetic Psychiatric Epidemiology and Biostatistics
Institute of Clinical Medicine
National Cheng Kung University
Tainan, Taiwan
[email protected]

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Copyright © 2025 Dr. Sheng-Hsiang Lin. All rights reserved.