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Enhancing Health Research with Machine Learning: Practical Case Studies Using the All of Us Researcher Workbench.

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Bibliographic Details
Title: Enhancing Health Research with Machine Learning: Practical Case Studies Using the All of Us Researcher Workbench.
Authors: Holt JR; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Tillman S; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Carter J; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Preble E; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Cates SC; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Brannock D; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Long M; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., McCarthy J; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Leiva LZ; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Vishwanatha JK; The University of North Texas Health Science Center, Fort Worth, TX 76107., Syed T; The University of Texas Health Science Center at Houston TX 77225-0036., Burge L; Howard University, Department of Electrical Engineering and Computer Science, 2400 6thSt NW, Washington, DC 20059., Mallet RT; The University of North Texas Health Science Center, Fort Worth, TX 76107., Kowalczyk S; The Maya Tech Corporation, 8401 Colesville Rd #430, Silver Spring, MD 20910., Uhrig JD; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709., Lewis MA; RTI International, 3040 East Cornwallis Rd, RTP, NC 27709.
Source: Data science in science [Data Sci Sci] 2025; Vol. 4 (1). Date of Electronic Publication: 2025 Jul 03.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 9918557182406676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2694-1899 (Electronic) Linking ISSN: 26941899 NLM ISO Abbreviation: Data Sci Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2694-1899
DOI:10.1080/26941899.2025.2523871