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This Author published in this journals
All Journal Indonesian Journal of Business Analytics (IJBA)
Mei-Lan Su
Chi Mei Medical Center
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Artificial Intelligence in Weaning Clinical Practice: Finding New Rules in Ventilator Support Care Tsang-Hsiang Cheng; Shih-Chih Chen; Mai-Lun Chiu; Mei-Lan Su
Indonesian Journal of Business Analytics Vol. 2 No. 2 (2022): October 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v2i2.1252

Abstract

When patients depend on ventilators for a long period of time, it will increase the risk of complexity and the risk of death. Thus, medical professionals try to help patients to wean off from the ventilator as soon as possible to minimize the adverse effects of the respiratory machine. This study analyzed historical clinical data to evaluate and improve the weaning protocol in operation. This study adopted a retrospective approach by collecting 1,014 weaning cases from Taiwan in 2012. We extracted the crucial rules describing the results of weaning from the ventilator using the machine learning algorithm - C4.5, which help medical professionals revise the existing weaning protocol and as supplementary indicators in a new version of the weaning protocol.
Co-Authors Mai-Lun Chiu Shih-Chih Chen Tsang-Hsiang Cheng