Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.

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Bibliographic Details
Title: Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.
Authors: Ali A; Department of Clinical Pharmacy and Therapeutics, Applied Science Private University, Amman, Jordan., Alsayed AR; Department of Clinical Pharmacy and Therapeutics, Applied Science Private University, Amman, Jordan., Seder N; Department of Pharmaceutical Chemistry and Pharmacognosy, Applied Science Private University, Amman, Jordan., Jarrar Y; Department of Basic Medical Sciences, Faculty of Medicine, Al-Balqa Applied University, Al-Salt, Jordan., Altabanjeh RH; Department of Clinical Pharmacy and Therapeutics, Applied Science Private University, Amman, Jordan., Zihlif M; Department of Internal Medicine, Section of Pulmonary, Islamic Hospital, Amman, Jordan., Abu Ata O; Department of Internal Medicine, Section of Infectious Diseases, Islamic Hospital, Amman, Jordan., Samara A; Department of Software Engineering, Bethlehem University, Bethlehem, Palestine., Zihlif M; Department of Pharmacology, School of Medicine, The University of Jordan, Amman, Jordan.
Source: Biomolecules & biomedicine [Biomol Biomed] 2025 Jun 18; Vol. 26 (2), pp. 333-353. Date of Electronic Publication: 2025 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: Association of Basic Medical Sciences of FBIH Country of Publication: Bosnia and Herzegovina NLM ID: 9918522188506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2831-090X (Electronic) Linking ISSN: 28310896 NLM ISO Abbreviation: Biomol Biomed Subsets: MEDLINE
Database: MEDLINE Ultimate
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