Digital disease detection: Application of machine learning in community health informatics

© 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...

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Main Authors: Ekkarat Boonchieng, Khanita Duangchaemkarn
格式: Conference Proceeding
出版: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/55496
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機構: Chiang Mai University
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spelling th-cmuir.6653943832-554962018-09-05T02:57:13Z Digital disease detection: Application of machine learning in community health informatics Ekkarat Boonchieng Khanita Duangchaemkarn Computer Science © 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. 2018-09-05T02:57:13Z 2018-09-05T02:57:13Z 2016-11-18 Conference Proceeding 2-s2.0-85006914043 10.1109/JCSSE.2016.7748841 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006914043&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55496
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Ekkarat Boonchieng
Khanita Duangchaemkarn
Digital disease detection: Application of machine learning in community health informatics
description © 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.
format Conference Proceeding
author Ekkarat Boonchieng
Khanita Duangchaemkarn
author_facet Ekkarat Boonchieng
Khanita Duangchaemkarn
author_sort Ekkarat Boonchieng
title Digital disease detection: Application of machine learning in community health informatics
title_short Digital disease detection: Application of machine learning in community health informatics
title_full Digital disease detection: Application of machine learning in community health informatics
title_fullStr Digital disease detection: Application of machine learning in community health informatics
title_full_unstemmed Digital disease detection: Application of machine learning in community health informatics
title_sort digital disease detection: application of machine learning in community health informatics
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006914043&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55496
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