Indonesian Journal of Business Analytics (IJBA)
Vol. 2 No. 2 (2022): October 2022

Artificial Intelligence in Weaning Clinical Practice: Finding New Rules in Ventilator Support Care

Tsang-Hsiang Cheng (Southern Taiwan University of Science and Technology)
Shih-Chih Chen (National Kaohsiung University of Science and Technology)
Mai-Lun Chiu (Southern Taiwan University of Science and Technology)
Mei-Lan Su (Chi Mei Medical Center)

Article Info

Publish Date
31 Oct 2022

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.

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Journal Info
Indonesian Journal of Business Analytics (IJBA)
Website

Abbrev

ijba

Publisher

PT FORMOSA CENDEKIA GLOBAL

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

Indonesian Journal of Business Analytics (IJBA) is a peer-reviewed journal providing a space for both practitioners and academics for disseminating research results that work in Business Analytics and related fields. IJBA provides an outlet for the increasing flow of interdisciplinary research ...