CONFORMALIZED UNCERTAINTY REGIONS FOR MACHINE LEARNING-BASED MULTIPLE COGNITIVE HEALTH MEASURES FROM SMART WATCH SENSOR DATA

Machine learning (ML) algorithms play an increasingly critical role in remote health monitoring, automating health assessments, and extending medical professionals’ reach in

Publication Details

Journal
Washington State University
Published
2025-01-01
DOI
https://doi.org/10.7273/000007486
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

CONFORMALIZED UNCERTAINTY REGIONS FOR MACHINE LEARNING-BASED MULTIPLE COGNITIVE HEALTH MEASURES FROM SMART WATCH SENSOR DATA

Washington State University
Artificial Intelligence in Healthcare
article

CONFORMALIZED UNCERTAINTY REGIONS FOR MACHINE LEARNING-BASED MULTIPLE COGNITIVE HEALTH MEASURES FROM SMART WATCH SENSOR DATA

article en

Abstract

Machine learning (ML) algorithms play an increasingly critical role in remote health monitoring, automating health assessments, and extending medical professionals’ reach in

Washington State University
Openalex Percentile: Top 44%
Artificial Intelligence in Healthcare
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CONFORMALIZED UNCERTAINTY REGIONS FOR MACHINE LEARNING-BASED MULTIPLE COGNITIVE HEALTH MEASURES FROM SMART WATCH SENSOR DATA · Washington State University (2025) | TGRS Research Map | TGRS