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Subphenotyping heterogeneous patients with chronic critical illness to guide individualised fluid balance treatment using machine learning: a retrospective cohort study.
Liu P, Li S, Zheng T, Wu J, Fan Y, Liu X, Gong W, Xie H, Liu J, Li Y, Jiang H, Zhao F, Zhang J, Wu L, Ren H, Hong Z, Chen J, Gu G, Wang G, Zhang Z, Wu X, Zhao Y, Ren J. Liu P, et al. Among authors: liu j, liu x. EClinicalMedicine. 2023 Apr 20;59:101970. doi: 10.1016/j.eclinm.2023.101970. eCollection 2023 May. EClinicalMedicine. 2023. PMID: 37131542 Free PMC article.
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: liu c. 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.
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: liu c. 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.
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