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For: 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. Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation. Lancet Digit Health 2023;5:e657-e667. [PMID: 37599147 DOI: 10.1016/s2589-7500(23)00128-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 05/31/2023] [Accepted: 06/22/2023] [Indexed: 08/22/2023]
Number Cited by Other Article(s)
1
Guidet B, Vallet H, Flaatten H, Joynt G, Bagshaw SM, Leaver SK, Beil M, Du B, Forte DN, Angus DC, Sviri S, de Lange D, Herridge MS, Jung C. The trajectory of very old critically ill patients. Intensive Care Med 2024;50:181-194. [PMID: 38236292 DOI: 10.1007/s00134-023-07298-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/27/2023] [Indexed: 01/19/2024]
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