Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55496
Title: Digital disease detection: Application of machine learning in community health informatics
Authors: Ekkarat Boonchieng
Khanita Duangchaemkarn
Keywords: Computer Science
Issue Date: 18-Nov-2016
Abstract: © 2016 IEEE. Health informatics is a new research area which is interdisciplinary amongst information science, computer science and healthcare. The concept of health informatics is to develop a new way to manipulate healthcare data from various resources and devices by optimizing the method of data acquisition, data storage, data processing, and data visualization. Community health informatics can be described as the systematic application of information and computer science to obtain valuable data for solving health problems and providing it to health policy makers. The challenge of community health informatics is to maximize the efficiency and efficacy of big data analysis. This discussion paper aims to present the various applications of machine learning and software engineering approaches that implemented in digital disease detection.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006914043&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55496
Appears in Collections:CMUL: Journal Articles

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