Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

ABSTRACT:

Background and objective

Alzheimer's disease (AD) is the most common type of dementia that can seriously affect a person's ability to perform daily activities. Estimates indicate that AD may rank third as a cause of death for older people, after heart disease and cancer. Identification of individuals at risk for developing AD is imperative for testing therapeutic interventions. The objective of the study was to determine could diagnostics of AD from EMR data alone (without relying on diagnostic imaging) be significantly improved by applying clinical domain knowledge in data preprocessing and positive dataset selection rather than setting naïve filters.

Methods

Data were extracted from the repository of heterogeneous ambulatory EMR data, collected from primary care medical of

SUBMITTER: Ljubic B 

PROVIDER: S-EPMC7502243 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature