Login / Signup

Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: a case study for dementia, mild cognitive impairment, and Alzheimer's and Parkinson's diseases.

Juan M BandaNigam Haresh ShahVyjeyanthi S Periyakoil
Published in: JAMIA open (2023)
We have created a framework to identify systematic differences in the performance of probabilistic phenotyping algorithms specifically in the context of ADRD as a use case. Differences in subgroup performance of probabilistic phenotyping algorithms are not widespread nor do they occur consistently. This highlights the great need for careful ongoing monitoring to evaluate, measure, and try to mitigate such differences.
Keyphrases
  • mild cognitive impairment
  • cognitive decline
  • machine learning
  • deep learning
  • high throughput
  • randomized controlled trial
  • cognitive impairment
  • single cell
  • double blind
  • neural network