期刊论文、会议论文

Wang, Guojun

英文

2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017)

2158-9178

2017

959-966

15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC)

IEEE International Symposium on Parallel and Distributed Processing with Applications

DEC 12-15, 2017

Guangzhou, PEOPLES R CHINA

[Dai, Yinglong] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.^[Wang, Guojun;Xie, Dongqing;Chen, Shuhong] Guangzhou Univ, Sch Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China.^[Chen, Sihong] Hunan Univ Chinese Med, Hosp 1, Prevent Treatment Ctr, Changsha 410007, Hunan, Peoples R China.

IEEE, IEEE Comp Soc, Guangzhou Univ, Cent S Univ

Wang, G Fox, G Martinez, G Hill, R Mueller, P

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-3790-6

10.1109/ISPA/IUCC.2017.00147

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61632009, 61472451, 61502163]; Guangdong Provincial Natural Science FoundationNational Natural Science Foundation of Guangdong Province [2017A030308006]; High-Level Talents Program of Higher Education in Guangdong Province [2016ZJ01]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2016JJ3051]

本校为其他机构

In this paper, we present a human body simulator for healthcare research. In this special environment, human body is regarded as a black-box system that generates different outputs corresponding to different external inputs. The inputs can be healthcare interventions, and the outputs can be phenotypes that reflect latent health states. The healthcare purpose is to find effective strategies that can make the human body transfer to a healthy state from any other unhealthy states. At first, we propose to use deep neural networks (DNNs) to model the human body system. After some analyses, we disco...