Machine learning for predicting severe dengue in Puerto Rico.

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Bibliographic Details
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
Description
ISSN:2049-9957
DOI:10.1186/s40249-025-01273-0