2024
Identification of Severe Acute Exacerbations of Chronic Obstructive Pulmonary Disease Subgroups by Machine Learning Implementation in Electronic Health Records.
Li H, Huston J, Zielonka J, Kay S, Sauler M, Gomez J. Identification of Severe Acute Exacerbations of Chronic Obstructive Pulmonary Disease Subgroups by Machine Learning Implementation in Electronic Health Records. Chronic Obstructive Pulmonary Diseases Journal Of The COPD Foundation 2024, 11: 611-623. PMID: 39423339, PMCID: PMC11703024, DOI: 10.15326/jcopdf.2024.0556.Peer-Reviewed Original ResearchElectronic health recordsMachine learningAcute exacerbation of COPDAdoption of electronic health recordsHealth recordsMachine learning implementationElectronic health record dataImplementation of MLEHR-derived dataML implementationChronic obstructive pulmonary disease subgroupCOVID-19 cohortSevere acute exacerbation of COPDClinical careExacerbation of COPDAcute exacerbationRetrospective cohort of patientsLearning implementationSeverity of acute exacerbations of COPDMachineRelevant subgroupsRetrospective cohortImplementationCohortCohort of patients
2023
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach
Hendricks-Sturrup R, Simmons M, Anders S, Aneni K, Clayton E, Coco J, Collins B, Heitman E, Hussain S, Joshi K, Lemieux J, Novak L, Rubin D, Shanker A, Washington T, Waters G, Harris J, Yin R, Wagner T, Yin Z, Malin B. Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach. JMIR AI 2023, 2: e52888. PMID: 38875540, PMCID: PMC11041493, DOI: 10.2196/52888.Peer-Reviewed Original Research
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply