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Machine learning assisted differentiation of low acuity patients at dispatch: The MADLAD randomized controlled trial.

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Title: Machine learning assisted differentiation of low acuity patients at dispatch: The MADLAD randomized controlled trial.
Authors: Spangler DN; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden., Morelli S; Centre for Clinical Research, Västmanland Hospital, Västerås, Sweden., Smekal D; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden., Edmark L; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.; Centre for Clinical Research, Västmanland Hospital, Västerås, Sweden., Blomberg H; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Source: PLoS medicine [PLoS Med] 2026 Mar 31; Vol. 23 (3), pp. e1004770. Date of Electronic Publication: 2026 Mar 31 (Print Publication: 2026).
Publication Type: Journal Article; Randomized Controlled Trial; Multicenter Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101231360 Publication Model: eCollection Cited Medium: Internet ISSN: 1549-1676 (Electronic) Linking ISSN: 15491277 NLM ISO Abbreviation: PLoS Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Spangler+DN%22">Spangler DN</searchLink>; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.<br /><searchLink fieldCode="AU" term="%22Morelli+S%22">Morelli S</searchLink>; Centre for Clinical Research, Västmanland Hospital, Västerås, Sweden.<br /><searchLink fieldCode="AU" term="%22Smekal+D%22">Smekal D</searchLink>; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.<br /><searchLink fieldCode="AU" term="%22Edmark+L%22">Edmark L</searchLink>; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.; Centre for Clinical Research, Västmanland Hospital, Västerås, Sweden.<br /><searchLink fieldCode="AU" term="%22Blomberg+H%22">Blomberg H</searchLink>; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
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  Data: <searchLink fieldCode="JN" term="%22101231360%22">PLoS medicine</searchLink> [PLoS Med] 2026 Mar 31; Vol. 23 (3), pp. e1004770. <i>Date of Electronic Publication: </i>2026 Mar 31 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101231360 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-1676 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215491277%22">15491277 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Med <i>Subsets: </i>MEDLINE
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