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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: yeung w. 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.
Predicting Clinical Outcomes in Acute Ischemic Stroke Patients Undergoing Endovascular Thrombectomy with Machine Learning : A Systematic Review and Meta-analysis.
Teo YH, Lim ICZY, Tseng FS, Teo YN, Kow CS, Ng ZHC, Chan Ko Ko N, Sia CH, Leow AST, Yeung W, Kong WY, Chan BPL, Sharma VK, Yeo LLL, Tan BYQ. Teo YH, et al. Among authors: yeung w. Clin Neuroradiol. 2021 Dec;31(4):1121-1130. doi: 10.1007/s00062-020-00990-3. Epub 2021 Jan 24. Clin Neuroradiol. 2021. PMID: 33491132
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: yeung w. 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. Among authors: yeung w. 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.
896 results