Symptom-based data preprocessing for the detection of disease outbreak

© 2017 IEEE. Early warning systems for outbreak detection is a challenge topic for researchers in the epidemiology and biomedical informatics fields. We are proposing a new method for detecting disease epidemics using a symptom-based approach. The data was collected from developed mobile application...

Full description

Saved in:
Bibliographic Details
Main Authors: Khanita Duangchaemkarn, Varin Chaovatut, Phongtape Wiwatanadate, Ekkarat Boonchieng
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032221215&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43640
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-43640
record_format dspace
spelling th-cmuir.6653943832-436402018-04-25T07:16:23Z Symptom-based data preprocessing for the detection of disease outbreak Khanita Duangchaemkarn Varin Chaovatut Phongtape Wiwatanadate Ekkarat Boonchieng Computer Science Engineering Agricultural and Biological Sciences © 2017 IEEE. Early warning systems for outbreak detection is a challenge topic for researchers in the epidemiology and biomedical informatics fields. We are proposing a new method for detecting disease epidemics using a symptom-based approach. The data was collected from developed mobile applications which include users' demographic information and a list of chief complaint symptoms. Deliberated outbreaks are differentiated from seasonal outbreak by specific symptoms that represent a sign of infection. These symptoms were grouped, classified, and then converted to a time-series digital signal using the consensus scoring approach. Through the syndromic grouping method, the system digitized each data package into a single independent variable that is ready for further one-dimensional signal processing to predict disease outbreaks in the future. 2018-01-24T03:51:11Z 2018-01-24T03:51:11Z 2017-09-13 Conference Proceeding 1557170X 2-s2.0-85032221215 10.1109/EMBC.2017.8037393 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032221215&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43640
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
Agricultural and Biological Sciences
spellingShingle Computer Science
Engineering
Agricultural and Biological Sciences
Khanita Duangchaemkarn
Varin Chaovatut
Phongtape Wiwatanadate
Ekkarat Boonchieng
Symptom-based data preprocessing for the detection of disease outbreak
description © 2017 IEEE. Early warning systems for outbreak detection is a challenge topic for researchers in the epidemiology and biomedical informatics fields. We are proposing a new method for detecting disease epidemics using a symptom-based approach. The data was collected from developed mobile applications which include users' demographic information and a list of chief complaint symptoms. Deliberated outbreaks are differentiated from seasonal outbreak by specific symptoms that represent a sign of infection. These symptoms were grouped, classified, and then converted to a time-series digital signal using the consensus scoring approach. Through the syndromic grouping method, the system digitized each data package into a single independent variable that is ready for further one-dimensional signal processing to predict disease outbreaks in the future.
format Conference Proceeding
author Khanita Duangchaemkarn
Varin Chaovatut
Phongtape Wiwatanadate
Ekkarat Boonchieng
author_facet Khanita Duangchaemkarn
Varin Chaovatut
Phongtape Wiwatanadate
Ekkarat Boonchieng
author_sort Khanita Duangchaemkarn
title Symptom-based data preprocessing for the detection of disease outbreak
title_short Symptom-based data preprocessing for the detection of disease outbreak
title_full Symptom-based data preprocessing for the detection of disease outbreak
title_fullStr Symptom-based data preprocessing for the detection of disease outbreak
title_full_unstemmed Symptom-based data preprocessing for the detection of disease outbreak
title_sort symptom-based data preprocessing for the detection of disease outbreak
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032221215&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43640
_version_ 1681422410741448704