1st Australian International Conference on Industrial Engineering and Operations Management

Analysis of Research Trends in Artificial Intelligence and Healthcare Convergence using Text Mining Techniques

DONG HO SHIN
Publisher: IEOM Society International
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Track: High School and Middle School STEM Competition
Abstract

This paper reviews the major research trends on the convergence research of artificial intelligence and healthcare technology. For research, we collected 15,260 English-language articles on AI and medical-related topics and performed text mining techniques on Scopus from 1963 to 55 years. As a result, seven core research topics, including 'AI for clinical decision support system (CDSS)', 'AI for medical imaging', 'Internet of Things (IoHT)', 'medical big data analysis', and 'medical medicine' were selected. defined Robotics", "Blockchain in Healthcare" and "Evidence-Based Medicine (EBM)". In this paper, text mining including Text Analysis, Frequency Analysis, Topic Modeling on LDA (Latent Dirichlet Allocation), Word Cloud, Ego Network Analysis, etc. , the technique was performed.

Keywords

Artificial Intelligence, Healthcare, Text mining, Topic Modeling, Ego Network Analysis,

Published in: 1st Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia

Publisher: IEOM Society International
Date of Conference: December 21-22, 2022

ISBN: 979-8-3507-0542-3
ISSN/E-ISSN: 2169-8767