Enhanced SARS-CoV-2 case prediction using public health data and machine learning models.
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| Title: | Enhanced SARS-CoV-2 case prediction using public health data and machine learning models. |
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| Authors: | Price BS; Department of Management Information Systems, West Virginia University, Morgantown, WV 26505, United States.; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States., Khodaverdi M; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States., Hendricks B; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States.; Department of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV 26505, United States., Smith GS; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States.; Department of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV 26505, United States., Kimble W; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States., Halasz A; School of Mathematics and Data Science, West Virginia University, Morgantown, WV 26506, United States., Guthrie S; Department of Sociology and Anthropology, West Virginia University, Morgantown, WV 26505, United States., Fraustino JD; Department of Strategic Communication, Reed College of Media, West Virginia University, Morgantown, WV 26505, United States., Hodder SL; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, United States.; Department of Medicine, West Virginia University, Morgantown, WV 26506, United States. |
| Source: | JAMIA open [JAMIA Open] 2024 Feb 10; Vol. 7 (1), pp. ooae014. Date of Electronic Publication: 2024 Feb 10 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-2531 |
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| DOI: | 10.1093/jamiaopen/ooae014 |
