alexa Knowledge Extraction for Sleep Apnea Medical Diagnosis
ISSN: 2380-5439

Journal of Health Education Research & Development
Open Access

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Research Article

Knowledge Extraction for Sleep Apnea Medical Diagnosis

Hung-Hsiang Chiu* and Bing-Jun Wang

Department of Electrophysics, National Chiao Tung University, Hsinchu 30010, Taiwan

*Corresponding Author:
Hung-Hsiang Chiu
Department of Electrophysics, National
Chiao Tung University, Hsinchu 30010, Taiwan
Tel: +886935064435
E-mail: [email protected]

Received date: October 06, 2016; Accepted date: October 28, 2016; Published date: October 31, 2016

Citation: Chiu H, Wang BJ (2016) Knowledge Extraction for Sleep Apnea Medical Diagnosis. J Health Edu Res Dev 4:193. doi: 10.4172/2380-5439.1000193

Copyright: © 2016 Chiu H, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This research aimed to extract medical diagnostic knowledge about sleep apnea by applying theories from process control management, library science, and knowledge management. We interviewed the President of the International Sleep Science Technology Association (ISSTA), a medical doctor, on the subject of sleep apnea, and validated the research findings with four other sleep apnea experts to achieve the following: A formal knowledge extraction procedure was established for sleep apnea. All medical knowledge pertaining to sleep apnea was mapped out.

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