Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Yang SY, Huang CJ, Yen CI, Kao YC, Hsiao YC, Yang JY, Chang SY, Chuang SS, Chen HC. Machine learning approach for predicting inhalation injury in patients with burns. Burns 2023;49:1592-1601. [PMID: 37055284 PMCID: PMC10032063 DOI: 10.1016/j.burns.2023.03.011] [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: 09/13/2022] [Revised: 03/07/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023]

For:	Yang SY, Huang CJ, Yen CI, Kao YC, Hsiao YC, Yang JY, Chang SY, Chuang SS, Chen HC. Machine learning approach for predicting inhalation injury in patients with burns. Burns 2023;49:1592-1601. [PMID: 37055284 PMCID: PMC10032063 DOI: 10.1016/j.burns.2023.03.011] [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: 09/13/2022] [Revised: 03/07/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023]

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Cited by Other Article(s)

Ghadarjani R, Nejad KG. The future of diagnosis by applying machine learning for predicting inhalation injury in patients with burns. Burns 2024;50:525-526. [PMID: 38097443 DOI: 10.1016/j.burns.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/09/2023] [Indexed: 02/24/2024]