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Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study.
Liu X, DuMontier C, Hu P, Liu C, Yeung W, Mao Z, Ho V, Thoral PJ, Kuo PC, Hu J, Li D, Cao D, Mark RG, Zhou F, Zhang Z, Celi LA. Liu X, et al. Among authors: thoral pj. J Gerontol A Biol Sci Med Sci. 2023 Mar 30;78(4):718-726. doi: 10.1093/gerona/glac107. J Gerontol A Biol Sci Med Sci. 2023. PMID: 35657011 Free PMC article.
Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia, Europe and North America.
Xu H, Agha-Mir-Salim L, O'Brien Z, Huang DC, Li P, Gómez J, Liu X, Liu T, Yeung W, Thoral P, Elbers P, Zhang Z, Saera MB, Celi LA. Xu H, et al. BMJ Health Care Inform. 2021 Oct;28(1):e100419. doi: 10.1136/bmjhci-2021-100419. BMJ Health Care Inform. 2021. PMID: 34642176 Free PMC article.
A guide to sharing open healthcare data under the General Data Protection Regulation.
de Kok JWTM, de la Hoz MÁA, de Jong Y, Brokke V, Elbers PWG, Thoral P, Castillejo A, Trenor T, Castellano JM, Bronchalo AE, Merz TM, Faltys M; Collaborator group; van der Horst ICC, Xu M, Celi LA, van Bussel BCT, Borrat X. de Kok JWTM, et al. Sci Data. 2023 Jun 24;10(1):404. doi: 10.1038/s41597-023-02256-2. Sci Data. 2023. PMID: 37355751 Free PMC article.
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
Liu X, Hu P, Yeung W, Zhang Z, Ho V, Liu C, Dumontier C, Thoral PJ, Mao Z, Cao D, Mark RG, Zhang Z, Feng M, Li D, Celi LA. Liu X, et al. Among authors: thoral pj. Lancet Digit Health. 2023 Oct;5(10):e657-e667. doi: 10.1016/S2589-7500(23)00128-0. Epub 2023 Aug 18. Lancet Digit Health. 2023. PMID: 37599147 Free article.
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Vagliano I, Schut MC, Abu-Hanna A, Dongelmans DA, de Lange DW, Gommers D, Cremer OL, Bosman RJ, Rigter S, Wils EJ, Frenzel T, de Jong R, Peters MAA, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Achterberg S, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef GB, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Faber HJ, Karakus A, Entjes R, de Jong P, Rettig TCD, Reuland MC, Arbous S, Fleuren LM, Dam TA, Thoral PJ, Lalisang RCA, Tonutti M, de Bruin DP, Elbers PWG, de Keizer NF; Dutch COVID-19 Research Consortium, the Dutch ICU Data Sharing Against COVID-19 Collaborators. Vagliano I, et al. Among authors: thoral pj. Int J Med Inform. 2022 Nov;167:104863. doi: 10.1016/j.ijmedinf.2022.104863. Epub 2022 Sep 22. Int J Med Inform. 2022. PMID: 36162166 Free PMC article.
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