Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Indonesian Journal of Business Analytics (IJBA) Startupreneur Business Digital (SABDA Journal)
Shih-Chih Chen
National Kaohsiung University of Science and Technology
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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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.
Advancing Production Management through Industry 4.0 Technologies Shih-Chih Chen; Istiqomah Yati; Eiser Aaron Beldiq
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 2 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i2.637

Abstract

The development of Industry 4.0 technologies has brought significant changes to various sectors, including production management. In increasingly complex production environments, the adoption of Industry 4.0 technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has become crucial for enhancing the efficiency and effectiveness of production pro- cesses. This study aims to explore how Industry 4.0 technologies can be applied in production management to optimize operational performance and reduce re- source wastage. The research employs a quantitative approach with data analysis obtained from case studies of manufacturing companies that have implemented Industry 4.0 technologies. Data collection was conducted through surveys and interviews with production managers, along with the analysis of operational per- formance reports. The results indicate that the implementation of Industry 4.0 technologies significantly improves production efficiency, accelerates response times to market demand changes, and reduces operational costs. These findings suggest that integrating Industry 4.0 technologies into production management can be an effective strategy for addressing the challenges of global competi- tion and changing market dynamics. This research contributes to the production management literature by offering insights into the positive impact of adopting Industry 4.0 technologies in operational contexts. The results are expected to serve as a reference for practitioners in developing more adaptive and innovative production strategies in the digital era.
Co-Authors Eiser Aaron Beldiq Istiqomah Yati Mai-Lun Chiu Mei-Lan Su Tsang-Hsiang Cheng