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Machine learning for predicting severe dengue in Puerto Rico.

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Title: Machine learning for predicting severe dengue in Puerto Rico.
Authors: Madewell ZJ; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA. ock0@cdc.gov., Rodriguez DM; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA., Thayer MB; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA., Rivera-Amill V; Ponce Health Sciences University/Ponce Research Institute, Ponce, Puerto Rico, USA., Paz-Bailey G; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA., Adams LE; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA., Wong JM; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.
Source: Infectious diseases of poverty [Infect Dis Poverty] 2025 Feb 04; Vol. 14 (1), pp. 5. Date of Electronic Publication: 2025 Feb 04.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101606645 Publication Model: Electronic Cited Medium: Internet ISSN: 2049-9957 (Electronic) Linking ISSN: 20499957 NLM ISO Abbreviation: Infect Dis Poverty Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning for predicting severe dengue in Puerto Rico.
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  Data: <searchLink fieldCode="AU" term="%22Madewell+ZJ%22">Madewell ZJ</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA. ock0@cdc.gov.<br /><searchLink fieldCode="AU" term="%22Rodriguez+DM%22">Rodriguez DM</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.<br /><searchLink fieldCode="AU" term="%22Thayer+MB%22">Thayer MB</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.<br /><searchLink fieldCode="AU" term="%22Rivera-Amill+V%22">Rivera-Amill V</searchLink>; Ponce Health Sciences University/Ponce Research Institute, Ponce, Puerto Rico, USA.<br /><searchLink fieldCode="AU" term="%22Paz-Bailey+G%22">Paz-Bailey G</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.<br /><searchLink fieldCode="AU" term="%22Adams+LE%22">Adams LE</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.<br /><searchLink fieldCode="AU" term="%22Wong+JM%22">Wong JM</searchLink>; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA.
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  Data: <searchLink fieldCode="JN" term="%22101606645%22">Infectious diseases of poverty</searchLink> [Infect Dis Poverty] 2025 Feb 04; Vol. 14 (1), pp. 5. <i>Date of Electronic Publication: </i>2025 Feb 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101606645 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2049-9957 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220499957%22">20499957 </searchLink><i>NLM ISO Abbreviation: </i>Infect Dis Poverty <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s40249-025-01273-0
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              Text: 2025 Feb 04
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