Development of a Machine Learning Modeling Tool for Predicting HIV Incidence Using Public Health Data From a County in the Southern United States.
Saved in:
| Title: | Development of a Machine Learning Modeling Tool for Predicting HIV Incidence Using Public Health Data From a County in the Southern United States. |
|---|---|
| Authors: | Saldana CS; Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA., Burkhardt E; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Pennisi A; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Oliver K; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Olmstead J; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Holland DP; Division of Primary Care, Mercy Care Health Systems, Atlanta, Georgia, USA.; Fulton County Board of Health, Communicable Disease Prevention Branch, Atlanta, Georgia, USA., Gettings J; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Mauck D; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Austin D; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Wortley P; Epidemiology Division, Georgia Department of Public Health, Atlanta, Georgia, USA., Ochoa KVS; School of Architecture, College of Design, Construction, and Planning, University of Florida, Gainesville, Florida, USA. |
| Source: | Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2024 Sep 26; Vol. 79 (3), pp. 717-726. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 9203213 Publication Model: Print Cited Medium: Internet ISSN: 1537-6591 (Electronic) Linking ISSN: 10584838 NLM ISO Abbreviation: Clin Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1537-6591 |
|---|---|
| DOI: | 10.1093/cid/ciae100 |
