This app provides clinicians and researchers with a Bayesian modeling tool to predict hospital admission among emergency department patients
This app provides clinicians and researchers with a Bayesian modeling tool to predict hospital admission among emergency department patients. The model incorporates the timing of a patient’s request to urinate as a unique, non-invasive predictor, derived from real-world clinical data. Designed for healthcare professionals, the app offers an intuitive interface for entering patient information and obtaining individualized admission probabilities. It aims to support triage decision-making, optimize patient flow, and advance the integration of behavioral markers into emergency medicine.
| InAppPurchase_Sequence | InAppPurchase_Name | InAppPurchase_Price | InAppPurchase_Currency | InAppPurchase_Region |
|---|---|---|---|---|
| 1 | InAppPurchase_DefaultItemName | ¥ 0 | CNY | 中国 |
