Evolving health consultancy by predictive caravan health sensing in developing countries

Eiko Kai, Sozo Inoue, Atsushi Taniguchi, Yasunobu Nohara, Ashir Uddin Ahmed, Naoki Nakashima, Masaru Kitsuregawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce the predictive way to evolve the process of the health consultancy by predictive methods with machine learning. We have tried health consultancy for over 22,000 patients with caravan health sensing in Bangladesh during 2012-2014. In health consultancy with caravan health sensing, doctors' task becomes the bottleneck of the whole process because of the cost and the huge workload, and we try to delegate some of them to health workers who are less skilled. In this paper, we propose a method to predict the advices of doctors from the inquiry, vital data, and the chief complaints of the patients, and to delegate the task to health workers, resulting in eliminating the bottleneck. We also evaluate the accuracy of the prediction of advices from the 931 patients who have taken the doctors' consultancy out of the above experiment. We got the predict accuracy 76.24% with inquiry and vital data, and 82.55% with adding chief complaints data.

Original languageEnglish
Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages1225-1232
Number of pages8
ISBN (Electronic)9781450330473
DOIs
Publication statusPublished - 2014
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: Sep 13 2014Sep 17 2014

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
CountryUnited States
CitySeattle
Period9/13/149/17/14

Fingerprint

Developing countries
Health
Learning systems
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Kai, E., Inoue, S., Taniguchi, A., Nohara, Y., Ahmed, A. U., Nakashima, N., & Kitsuregawa, M. (2014). Evolving health consultancy by predictive caravan health sensing in developing countries. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1225-1232). Association for Computing Machinery, Inc. https://doi.org/10.1145/2638728.2638816

Evolving health consultancy by predictive caravan health sensing in developing countries. / Kai, Eiko; Inoue, Sozo; Taniguchi, Atsushi; Nohara, Yasunobu; Ahmed, Ashir Uddin; Nakashima, Naoki; Kitsuregawa, Masaru.

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 1225-1232.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kai, E, Inoue, S, Taniguchi, A, Nohara, Y, Ahmed, AU, Nakashima, N & Kitsuregawa, M 2014, Evolving health consultancy by predictive caravan health sensing in developing countries. in UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 1225-1232, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014, Seattle, United States, 9/13/14. https://doi.org/10.1145/2638728.2638816
Kai E, Inoue S, Taniguchi A, Nohara Y, Ahmed AU, Nakashima N et al. Evolving health consultancy by predictive caravan health sensing in developing countries. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2014. p. 1225-1232 https://doi.org/10.1145/2638728.2638816
Kai, Eiko ; Inoue, Sozo ; Taniguchi, Atsushi ; Nohara, Yasunobu ; Ahmed, Ashir Uddin ; Nakashima, Naoki ; Kitsuregawa, Masaru. / Evolving health consultancy by predictive caravan health sensing in developing countries. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. pp. 1225-1232
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