Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance-Reference-Cited by-同舟云学术

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Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance

Published:2023-10 Issue: Volume:125 Page:106715
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zamzam Aizat Hilmi^ORCID,Hasikin Khairunnisa^ORCID,Wahab Ahmad Khairi Abdul^ORCID

Funder

Kementerian Kesihatan Malaysia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference68 articles.

1. Prioritization of parts of a medical equipment using analytical hierarchy process;Abirami,2020

2. Effects of distance measure choice on K-nearest neighbor classifier performance: A review;Abu Alfeilat;Big Data,2019

3. Web of science, scopus and google scholar a content comprehensiveness comparison;Adriaanse;Electron. Libr.,2013

4. A comparative study of medical equipment maintenance cost and performance for selected saudi hospitals;Altayyar;Int. J. Eng. Adv. Technol.,2017

5. A novel approach for healthcare equipments lifespan assessment;Aridi;Int. J. Adv. Life Sci.,2016

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2. Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network;The International Journal of Advanced Manufacturing Technology;2024-07-02

3. A risk assessment model with dependent failure modes for the manufacturing and design processes of medical equipment;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-06-04

4. A novel conceptual framework for predictive maintenance of medical devices in a circular healthcare supply chain;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

5. The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century;Bioengineering;2024-03-29

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