Disease prediction based on transfer learning in individual healthcare

Yang Song; Tianbai Yue; Hongzhi Wang; Jianzhong Li; Hong Gao

doi:10.1007/978-981-10-6385-5_10

Disease prediction based on transfer learning in individual healthcare

Yang Song
, Tianbai Yue
, Hongzhi Wang^*
, Jianzhong Li
, Hong Gao

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology
Heilongjiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Nowadays, emerging mobile medical technology and disease prevention become new trends of disease prevention and control. Based on this technology, we present disease prediction models based on transfer learning. Breast cancer disease data has been used to build our model. According to the neural networks, the basic model has been provided. With unlabeled data, transfer learning is a appropriate way to revise the module to increase accuracy. The test results show that the algorithm is suitable for data classification, especially for unlabeled health data.

Original language	English
Title of host publication	Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings
Editors	Xianhua Song, Wei Xie, Zeguang Lu, Beiji Zou, Min Li, Hongzhi Wang
Publisher	Springer Verlag
Pages	110-122
Number of pages	13
ISBN (Print)	9789811063848
DOIs	https://doi.org/10.1007/978-981-10-6385-5_10
State	Published - 2017
Event	3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017 - Changsha, China Duration: 22 Sep 2017 → 24 Sep 2017

Publication series

Name	Communications in Computer and Information Science
Volume	727
ISSN (Print)	1865-0929

Conference

Conference	3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017
Country/Territory	China
City	Changsha
Period	22/09/17 → 24/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Disease prediction
Individual healthcare
Neural networks
Transfer learning
Unlabeled data

Access to Document

10.1007/978-981-10-6385-5_10

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Song, Y., Yue, T., Wang, H., Li, J., & Gao, H. (2017). Disease prediction based on transfer learning in individual healthcare. In X. Song, W. Xie, Z. Lu, B. Zou, M. Li, & H. Wang (Eds.), Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings (pp. 110-122). (Communications in Computer and Information Science; Vol. 727). Springer Verlag. https://doi.org/10.1007/978-981-10-6385-5_10

Song, Yang ; Yue, Tianbai ; Wang, Hongzhi et al. / Disease prediction based on transfer learning in individual healthcare. Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. editor / Xianhua Song ; Wei Xie ; Zeguang Lu ; Beiji Zou ; Min Li ; Hongzhi Wang. Springer Verlag, 2017. pp. 110-122 (Communications in Computer and Information Science).

@inproceedings{25d9d2d878c84c8aa51835143a7d571a,

title = "Disease prediction based on transfer learning in individual healthcare",

abstract = "Nowadays, emerging mobile medical technology and disease prevention become new trends of disease prevention and control. Based on this technology, we present disease prediction models based on transfer learning. Breast cancer disease data has been used to build our model. According to the neural networks, the basic model has been provided. With unlabeled data, transfer learning is a appropriate way to revise the module to increase accuracy. The test results show that the algorithm is suitable for data classification, especially for unlabeled health data.",

keywords = "Disease prediction, Individual healthcare, Neural networks, Transfer learning, Unlabeled data",

author = "Yang Song and Tianbai Yue and Hongzhi Wang and Jianzhong Li and Hong Gao",

note = "Publisher Copyright: {\textcopyright} 2017, Springer Nature Singapore Pte Ltd.; 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",

year = "2017",

doi = "10.1007/978-981-10-6385-5\_10",

language = "英语",

isbn = "9789811063848",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "110--122",

editor = "Xianhua Song and Wei Xie and Zeguang Lu and Beiji Zou and Min Li and Hongzhi Wang",

booktitle = "Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings",

address = "德国",

}

Song, Y, Yue, T, Wang, H, Li, J & Gao, H 2017, Disease prediction based on transfer learning in individual healthcare. in X Song, W Xie, Z Lu, B Zou, M Li & H Wang (eds), Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. Communications in Computer and Information Science, vol. 727, Springer Verlag, pp. 110-122, 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017, Changsha, China, 22/09/17. https://doi.org/10.1007/978-981-10-6385-5_10

Disease prediction based on transfer learning in individual healthcare. / Song, Yang; Yue, Tianbai; Wang, Hongzhi et al.
Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. ed. / Xianhua Song; Wei Xie; Zeguang Lu; Beiji Zou; Min Li; Hongzhi Wang. Springer Verlag, 2017. p. 110-122 (Communications in Computer and Information Science; Vol. 727).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Disease prediction based on transfer learning in individual healthcare

AU - Song, Yang

AU - Yue, Tianbai

AU - Wang, Hongzhi

AU - Li, Jianzhong

AU - Gao, Hong

PY - 2017

Y1 - 2017

N2 - Nowadays, emerging mobile medical technology and disease prevention become new trends of disease prevention and control. Based on this technology, we present disease prediction models based on transfer learning. Breast cancer disease data has been used to build our model. According to the neural networks, the basic model has been provided. With unlabeled data, transfer learning is a appropriate way to revise the module to increase accuracy. The test results show that the algorithm is suitable for data classification, especially for unlabeled health data.

AB - Nowadays, emerging mobile medical technology and disease prevention become new trends of disease prevention and control. Based on this technology, we present disease prediction models based on transfer learning. Breast cancer disease data has been used to build our model. According to the neural networks, the basic model has been provided. With unlabeled data, transfer learning is a appropriate way to revise the module to increase accuracy. The test results show that the algorithm is suitable for data classification, especially for unlabeled health data.

KW - Disease prediction

KW - Individual healthcare

KW - Neural networks

KW - Transfer learning

KW - Unlabeled data

UR - https://www.scopus.com/pages/publications/85030029404

U2 - 10.1007/978-981-10-6385-5_10

DO - 10.1007/978-981-10-6385-5_10

M3 - 会议稿件

AN - SCOPUS:85030029404

SN - 9789811063848

T3 - Communications in Computer and Information Science

SP - 110

EP - 122

BT - Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings

A2 - Song, Xianhua

A2 - Xie, Wei

A2 - Lu, Zeguang

A2 - Zou, Beiji

A2 - Li, Min

A2 - Wang, Hongzhi

PB - Springer Verlag

T2 - 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017

Y2 - 22 September 2017 through 24 September 2017

ER -

Song Y, Yue T, Wang H, Li J, Gao H. Disease prediction based on transfer learning in individual healthcare. In Song X, Xie W, Lu Z, Zou B, Li M, Wang H, editors, Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. Springer Verlag. 2017. p. 110-122. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-6385-5_10

Disease prediction based on transfer learning in individual healthcare

Abstract

Publication series

Conference

UN SDGs

Keywords

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