Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

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Title: Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.
Authors: Hsu JF; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Lin YC; Department of Applied Mathematics, Feng Chia University, Taichung, Taiwan., Lin CY; Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan., Chu SM; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Cheng HJ; Department of Artificial Intelligence Application, Minth University of Science and Technology, HsinChu County, Taiwan., Xu FW; Department of Applied Mathematics, Feng Chia University, Taichung, Taiwan., Huang HR; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Liao CC; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Fu RH; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Tsai MH; Division of Neonatology and Pediatric Hematology/Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, Yunlin, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address: mingmin.tw@yahoo.com.tw.
Source: Computers in biology and medicine [Comput Biol Med] 2025 May; Vol. 189, pp. 109942. Date of Electronic Publication: 2025 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2025.109942