#ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.

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第一作者： Abeed,Sarker

第一单位： Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA.

作者： Abeed,Sarker ^[1] ; Sahithi,Lakamana ^[1] ; Yuting,Guo ^[1] ; Yao,Ge ^[1] ; Abimbola,Leslie ^[2] ; Omolola,Okunromade ^[3] ; Elena,Gonzalez-Polledo ^[4] ; Jeanmarie,Perrone ^[5] ; Anne Marie,McKenzie-Brown ^[6]

作者单位： Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA. ^[1] Department of Radiology, Robert Larner College of Medicine, University of Vermont, Burlington, VT, USA. ^[2] Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. ^[3] Department of Anthropology, Goldsmiths University of London, London, UK. ^[4] Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. ^[5] Department of Anesthesiology, School of Medicine, Emory University, Atlanta, GA, USA. ^[6]

DOI 10.34133/hds.0078

PMID 38333075

发布时间 2024-02-10

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Health data science

2023年3卷

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#ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.

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#ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.

Health data science

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