Work

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

Year: 2021

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2021.3059563

Authors: Nicasia Beebe-Wang, Alex Okeson, Tim Althoff, Su-In Lee

Institution: University of Washington

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, Bill and Melinda Gates Foundation, National Institutes of Health, National Institute on Aging, U.S. National Library of Medicine

Awards: University of Washington Foundation - to develop new machine learning approaches to understand human health, Collaborative Research: ABI Innovation: Interpretable Machine Learning to Identify Molecular Markers for Complex Phenotypes, Interpretable Machine Learning to Identify Alzheimer's Disease Therapeutic Targets, Open Tools for Self-Tracking, Self Experimentation, and Patient-Provider Collaboration in Symptom Self-Management and Clinical Care, CHS: Small: Support for Self-Tracking and Patient-Provider Collaboration Using Data for Multiple and Evolving Goals in People with Migraine, III: Large: Collaborative Research: Analysis Engineering for Robust End-to-End Data Science

OpenAlex ID: W3130718864

FWCI: 2.868

Cites: 33

Cited by: 22

Related to: 10