Predictive and exposome analytics: A case study of asthma exacerbation management-Reference-Cited by-同舟云学术

Predictive and exposome analytics: A case study of asthma exacerbation management

Published:2019-11-19 Issue:6 Volume:11 Page:527-552
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Alkobaisi Shayma¹,Bae Wan D.²,Horak Matthew³,Narayanappa Sada⁴,Lee Jongwon⁵,AbuKhousa Eman⁶,Park Choon-Sik⁷,Bae Da Jung⁷

Affiliation:

1. College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates. E-mail: shayma.alkobaisi@uaeu.ac.ae

2. Department of Computer Science, Seattle University, Seattle, USA. E-mail: baew@seattleu.edu

3. Department of Mathematics, Hanyang University, Seoul, South Korea. E-mail: horakm@hanyang.ac.kr

4. Enterprise Information Technology Group, Lockheed Martin, Denver, USA. E-mail: sada.narayanappa@gmail.com

5. Department of Informatics, Technical University of Munich, Munich, Germany. E-mail: jongwon.lee@tum.de

6. Department of New Media Technology, Modul University, Dubai, United Arab Emirates. E-mail: eman.abukhousa@modul.ac.ae

7. Allergy and Respiratory Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea. E-mails: mdcspark@hanmail.net, dnwls75@naver.com

Publisher

IOS Press

Subject

Software

Reference79 articles.

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2. Modeling uncertainty in moving objects databases;Alkobaisi;IEICE Transactions on Information and Systems,2011

3. Voronoi maps

4. Predictive data mining in clinical medicine: Current issues and guidelines;Bellazzi;International Journal of Medical Informatics,2008

5. A. Belle, R. Thiagarajan, S.M. Soroushmehr, F. Navidi, D.A. Beard and K. Najarian, Big data analytics in healthcare, BioMed Research International 2015 (2015).

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