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An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department.

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Title: An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department.
Authors: Jeon Y; College of Medicine, Korea University, Seoul 02841, Republic of Korea., Kim DE; College of Medicine, Korea University, Seoul 02841, Republic of Korea., Jeong I; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea., Ahn SJ; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea., Cho NJ; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea., Gil HW; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea., Lee H; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Source: Toxics [Toxics] 2025 Oct 18; Vol. 13 (10). Date of Electronic Publication: 2025 Oct 18.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101639637 Publication Model: Electronic Cited Medium: Internet ISSN: 2305-6304 (Electronic) Linking ISSN: 23056304 NLM ISO Abbreviation: Toxics Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department.
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  Data: <searchLink fieldCode="AU" term="%22Jeon+Y%22">Jeon Y</searchLink>; College of Medicine, Korea University, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+DE%22">Kim DE</searchLink>; College of Medicine, Korea University, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeong+I%22">Jeong I</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+SJ%22">Ahn SJ</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+NJ%22">Cho NJ</searchLink>; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Gil+HW%22">Gil HW</searchLink>; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101639637%22">Toxics</searchLink> [Toxics] 2025 Oct 18; Vol. 13 (10). <i>Date of Electronic Publication: </i>2025 Oct 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101639637 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2305-6304 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223056304%22">23056304 </searchLink><i>NLM ISO Abbreviation: </i>Toxics <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Oct 18
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