Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2020
Title: Disease outbreak prediction by data integration and multi-task learning
Authors: Bardak, Batuhan
Tan, Mehmet
110845
Keywords: outbreak prediction
multi-task learning
data integration
Issue Date: 2017
Publisher: IEEE
Source: Bardak, B., & Tan, M. (2017, August). Disease outbreak prediction by data integration and multi-task learning. In 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 1-7). IEEE.
Abstract: The requirements for treatments vary for different diseases. These have to be considered in order to plan ahead the expenditures for the health care system. In this sense, disease surveillance has a significant impact on resource planning. To this end, we study the problem of predicting the number of incidences for a given disease based on the internet search and access log statistics. A number of papers appear in the literature that study this problem of predicting outbreaks, especially for Influenza. In this paper, in addition to investigating disease incidences other than Influenza, we propose to use the statistics for different diseases together for achieving transfer learning. We argue that we can increase prediction performance by considering diseases together in a multi-task learning setting due to our assumption of structure sharing. The results we obtained are promising as we achieved performance improvements in this setting. The code and data-sets used in the study are available from http: //mtan.etu.edu.tr/Supplementary/Outbreak-prediction/.
Description: 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (2017 : Manchester; United Kingdom)
URI: https://ieeexplore.ieee.org/document/8058551
https://hdl.handle.net/20.500.11851/2020
ISBN: 978-1-4673-8988-4
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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