Using Machine Learning Algorithms to Identify Key Predictors of Invasive Mold Infection Surveillance.

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Title: Using Machine Learning Algorithms to Identify Key Predictors of Invasive Mold Infection Surveillance.
Authors: Williams SL; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Salah Z; Surveillance, Information Management, and Statistics Office, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Jackson BR; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Wurster S; Division of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA., Serpa JA; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA., Grimes CZ; Division of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA., Atmar RL; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA., Chiller TM; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Kontoyiannis DP; Division of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA., Ostrosky-Zeichner L; Division of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA., Toda M; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Source: The Journal of infectious diseases [J Infect Dis] 2025 Dec 20; Vol. 232 (6), pp. e1033-e1042.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 0413675 Publication Model: Print Cited Medium: Internet ISSN: 1537-6613 (Electronic) Linking ISSN: 00221899 NLM ISO Abbreviation: J Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Williams+SL%22">Williams SL</searchLink>; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Salah+Z%22">Salah Z</searchLink>; Surveillance, Information Management, and Statistics Office, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Jackson+BR%22">Jackson BR</searchLink>; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Wurster+S%22">Wurster S</searchLink>; Division of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Serpa+JA%22">Serpa JA</searchLink>; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Grimes+CZ%22">Grimes CZ</searchLink>; Division of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Atmar+RL%22">Atmar RL</searchLink>; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Chiller+TM%22">Chiller TM</searchLink>; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Kontoyiannis+DP%22">Kontoyiannis DP</searchLink>; Division of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Ostrosky-Zeichner+L%22">Ostrosky-Zeichner L</searchLink>; Division of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Toda+M%22">Toda M</searchLink>; Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
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              Text: 2025 Dec 20
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