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Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.

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Title: Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.
Authors: Jung JJ; Division of Minimally Invasive Surgery, Department of Surgery, Duke University, USA; Department of Biostatistics and Bioinformatics, Duke University, USA. Electronic address: James.Jung@duke.edu., Pou-Prom C; Data Science and Advanced Analytics, Unity Health Toronto, USA., Mamdani M; Data Science and Advanced Analytics, Unity Health Toronto, USA.
Source: American journal of surgery [Am J Surg] 2025 Jul; Vol. 245, pp. 116138. Date of Electronic Publication: 2024 Dec 09.
Publication Type: Editorial
Journal Info: Publisher: Excerpta Medica Country of Publication: United States NLM ID: 0370473 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1883 (Electronic) Linking ISSN: 00029610 NLM ISO Abbreviation: Am J Surg Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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AccessLevel: 2
PubType: Editorial & Opinion
PubTypeId: editorialOpinion
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="AU" term="%22Jung+JJ%22">Jung JJ</searchLink>; Division of Minimally Invasive Surgery, Department of Surgery, Duke University, USA; Department of Biostatistics and Bioinformatics, Duke University, USA. Electronic address: James.Jung@duke.edu.<br /><searchLink fieldCode="AU" term="%22Pou-Prom+C%22">Pou-Prom C</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, USA.<br /><searchLink fieldCode="AU" term="%22Mamdani+M%22">Mamdani M</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, USA.
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  Data: <searchLink fieldCode="JN" term="%220370473%22">American journal of surgery</searchLink> [Am J Surg] 2025 Jul; Vol. 245, pp. 116138. <i>Date of Electronic Publication: </i>2024 Dec 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Excerpta+Medica%22">Excerpta Medica </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0370473 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1883 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029610%22">00029610 </searchLink><i>NLM ISO Abbreviation: </i>Am J Surg <i>Subsets: </i>MEDLINE; In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39694714
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      – Type: doi
        Value: 10.1016/j.amjsurg.2024.116138
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      – Code: eng
        Text: English
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        StartPage: 116138
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      – TitleFull: Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.
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            NameFull: Jung JJ
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            NameFull: Pou-Prom C
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            NameFull: Mamdani M
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          Dates:
            – D: 01
              M: 07
              Text: 2025 Jul
              Type: published
              Y: 2025
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            – Type: issn-electronic
              Value: 1879-1883
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              Value: 245
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