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.