A Machine Learning Framework for Predicting Cognitive Impairment in Aging Populations Using Urinary Metal and Demographic Data
Input data.
Input Help.
- Age: min 60, max 100.
- Creatinine: min 5, max 1000.
- Thallium: min 0, max 10.
- Barium: min 0, max 100.
- Cadmium: min 0, max 1.
- Cobalt: min 0, max 100.
- Molybdenum: min 0, max 1000.
- Lead: min 0, max 50.
- Tungsten: min 0, max 10.
- Cesium: min 0, max 50.
- Antimony: min 0, max 10.