Copyright
©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis
Mei-Juan Chen, Pei-Hsuan Yang, Mi-Tren Hsieh, Chia-Hung Yeh, Chih-Hsiang Huang, Chieh-Ming Yang, Gen-Min Lin
Mei-Juan Chen, Pei-Hsuan Yang, Mi-Tren Hsieh, Chieh-Ming Yang, Gen-Min Lin, Department of Electrical Engineering, National Dong Hwa University, Hualien 974, Taiwan
Chia-Hung Yeh, Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan
Chia-Hung Yeh, Chih-Hsiang Huang, Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan
Gen-Min Lin, Department of Medicine, Hualien Armed Forces General Hospital, Hualien 971, Taiwan
Gen-Min Lin, Departments of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
Author contributions: Chen MJ and Yeh CH contributed to the conception and design of the study, as well as the acquisition and interpretation of the data; Yang PH, Hsieh MT and Huang CH analyzed the data; Yang CM collected the data; Lin GM wrote the article; all authors made critical revisions related to the important intellectual content of the article and approved the final version of the article to be published.
Supported by Hualien Armed Forces General Hospital, No. 805-C107-14; and Ministry of Science and Technology, Taiwan, R.O.C., No. MOST 107-2221-E-899-002-MY3.
Informed consent statement: Participants were not required to give informed consent to this retrospective study since the analysis of baseline characteristics used anonymized clinical data.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Gen-Min Lin, MD, PhD, Assistant Professor, Chief Doctor, Department of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd. Shoufeng, Hualien 974, Taiwan.
farmer507@yahoo.com.tw
Telephone: +886-3-8634086 Fax: +886-3-8634060
Received: March 28, 2018
Peer-review started: March 28, 2018
First decision: May 16, 2018
Revised: June 7, 2018
Accepted: June 26, 2018
Article in press: June 27, 2018
Published online: August 16, 2018
Processing time: 141 Days and 20.7 Hours
