September 10, 2025Open Access

Predicting Olanzapine Induced BMI increase using Machine Learning on population-based Electronic Health Records

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Machine learning predicts over 5% BMI increase in patients on olanzapine, highlighting key predictive factors.

XGBoost model predicts over 5% BMI increase effectively, achieving an AUROC of 0.72, indicating strong predictive capability.
Highest predictive performance was observed in individuals aged 30-69 years, revealing age-related variations in outcomes.
Explainable machine learning using electronic health records informed risk factors for weight gain, guiding personalized interventions.
Results emphasize the need to identify predictive factors for olanzapine weight gain to improve treatment outcomes.

Aktypi et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark