Table Of ContentYichuan Wang
William Yu Chung Wang
Zhijun Yan
Dongsong Zhang (Eds.)
Communications in Computer and Information Science 1412
Digital Health and
Medical Analytics
Second International Conference, DHA 2020
Beijing, China, July 25, 2020
Revised Selected Papers
Communications
in Computer and Information Science 1412
Editorial Board Members
Joaquim Filipe
Polytechnic Institute of Setúbal, Setúbal, Portugal
Ashish Ghosh
Indian Statistical Institute, Kolkata, India
Raquel Oliveira Prates
Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
Lizhu Zhou
Tsinghua University, Beijing, China
More information about this series at http://www.springer.com/series/7899
Yichuan Wang William Yu Chung Wang
(cid:129) (cid:129)
Zhijun Yan Dongsong Zhang (Eds.)
(cid:129)
Digital Health and
Medical Analytics
Second International Conference, DHA 2020
Beijing, China, July 25, 2020
Revised Selected Papers
123
Editors
Yichuan Wang William Yu ChungWang
TheUniversity of Sheffield University of Waikato
Sheffield,UK Hamilton, NewZealand
ZhijunYan Dongsong Zhang
Beijing Institute of Technology University of NorthCarolina atCharlotte
Beijing,China Charlotte, NC,USA
ISSN 1865-0929 ISSN 1865-0937 (electronic)
Communications in Computer andInformation Science
ISBN 978-981-16-3630-1 ISBN978-981-16-3631-8 (eBook)
https://doi.org/10.1007/978-981-16-3631-8
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Preface
Thehealthcaresectorhasexperiencedasignificanttransformationinpastyears,dueto
the digitalization of the healthcare service and ecosystem. Digitalization refers to the
socio-technical process of utilizing digital technologies to catalyze the connectivity of
individuals, organizations, industries, and society as a whole. Technologies including
the Internet of Medical Things (IoMT), artificial intelligence (AI), medical analytics,
wearable medical devices, blockchain, cloud computing, 3D/4D printing, and aug-
mented and virtual reality hold the promise of liberating personal health data and
offering a more cost-effective way of developing predictive, preventive, personalized,
and participatory (P4) medicine.
With the rapid development of digitalization in healthcare, massive amounts of
digital health data are now stored in medical information systems, which could be a
valuable source for supporting healthcare organizations’ clinical practices and opera-
tions, public health management, and medical research if it is analyzed in meaningful
ways. However, despite the prosperity of digitalization in healthcare, this transfor-
mation comes with many challenges related to healthcare infrastructure, ecosystems,
policy, ethics, and management. Obstacles include the lack of health data integration,
data overload issues, data privacy and security, and limited or inefficient data visual-
ization. As a result, there is an urgent need for further research to technologically
explorehowtoutilizedigitalhealthdatatosupportevidence-basedmedicineusingdata
analytics approaches and to demonstrate how big data analytics and AI can enable
healthcare practitioners and policy makers to sufficiently address societal health con-
cerns and challenges.
The International Conference on Digital Health and Medical Analytics (DHA),
co-founded by Dr. Yichuan Wang (University of Sheffield, UK) and Dr. William Yu
Chung Wang (University of Waikato, New Zealand), has been collaborating with the
University of Bristol (UK), Brandeis University (USA), the Kyushu Institute of
Technology(Japan),theFirstAffiliatedHospitalofZhengzhouUniversity(China),the
Beijing Institute of Technology (China), and the University of North Carolina at
Charlotte (USA). The aim of International Conference on Digital Health and Medical
Analytics(DHA) istobring together a widespectrum ofresearchers, industry/start-up
professionals, and healthcare practitioners to discuss multidisciplinary subjects
includingpractice and social networks, analytics and engagementwith health devices,
big data, public health surveillance, persuasive technologies, epidemic intelligence,
participatory surveillance, emergency medicine, serious games for public health
interventions,andautomatedearlyidentificationofhealththreatsandresponses.Since
its inception in 2017, the DHA conference has been an interdisciplinary gathering
of researchers at the intersection of public health, information systems, healthcare
management, and operation management. The first DHA conference was held in
Zhengzhou, China (23–25 August 2019). The second DHA conference was held
virtually on 25 July 2020.
vi Preface
This volume consists of research papers that were presented at DHA 2020, which
took place on July 25th, 2020. Each paper underwent at least two rounds of reviews
and revisions. These papers highlight the role of digitalization in the context of
healthcare in regions including America, Europe, Asia, and Oceania. Case studies,
surveys,andtextminingapproacheswereutilizedtoinvestigatethisphenomenon.This
collection of research papers presents new insights contributing to the theory and
practices in the digital health and medical analytics domains.
TheproceedingseditorswishtothankthededicatedconferenceProgramCommittee
members, the International Advisory Committee members and all the reviewers for
their contributions. We also thank Springer for their trust and for publishing the pro-
ceedings of DHA 2020.
March 2021 Yichuan Wang
William Yu Chung Wang
Zhijun Yan
Dongsong Zhang
Organization
Conference Co-chairs
Zhijun Yan Beijing Institute of Technology, China
William Wang University of Waikato, New Zealand
Yichuan Wang University of Sheffield, UK
Dongsong Zhang University of North Carolina at Charlotte, USA
Program Co-chairs
Shiwei Sun Beijing Institute of Technology, China
Minhao Zhang University of Bristol, UK
Lin Jia Beijing Institute of Technology, China
Luke Younghoon Chang Beijing Institute of Technology, China
Qiuju Yin Beijing Institute of Technology, China
Program Committee
Huigang Liang (Chair) East Carolina University, USA
Guodong Gao University of Maryland, College Park, USA
Changyong Liang Hefei University of Technology, China
Jiye Mao Renmin University of China, China
Yong Tan University of Washington, USA
Kanliang Wang Renmin University of China, China
Kang Xie Sun Yat-Sen University, China
Han Zhang Georgia Institute of Technology, USA
Pengzhu Zhang Shanghai Jiao Tong University, China
Zhiqiang Zheng University of Texas at Dallas, USA
Qinghua Zhu Nanjing University, China
International Advisory Committee
Terry Byrd Auburn University, USA
Wantao Yu Roehampton University, UK
Xiaojun Wang University of Bristol, UK
Jiang Yu University of Chinese Academy of Sciences, China
Lincoln C. Wood University of Otago, New Zealand
Stuart Dillon Waikato University, New Zealand
Steven Hsiao Rowan University, USA
Yen-Yo Wang Auburn University, USA
Nick Hajli Swansea University, UK
Mina Tajvidi Newcastle University, UK
viii Organization
Zhen He University of York, UK
Tianan Yang Beijing Institute of Technology, China
Dongmei Cao Coventry University, UK
Tingting Zhang University of Science and Technology Beijing, China
Lincoln Wood University of Otago, New Zealand
Lujie Chen Xi’an Jiaotong-Liverpool University, China
Sena Ozdemir Coventry University, UK
Roberta Bernardi University of Bristol, UK
Huimin Lu Kyushu Institute of Technology, Japan
Contents
A CNN-Based Method for Depression Detecting Form Audio . . . . . . . . . . . 1
Shuangshuang Zhao, Qingqing Li, Chenbin Li, Yu Li, and Ke Lu
Design of Chinese Medicine Health Management System. . . . . . . . . . . . . . . 11
Ruixiang Wang and Chunyan Wang
Early Warning and Response of Emerging Infectious Diseases
with Hospitals as the Main Body . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
Hongchang An
Exploring Patients’ AI Adoption Intention in the Context of Healthcare. . . . . 27
Yiwei Zhu and Shiwei Sun
Hierarchical Staffing Problem Under High-Time Varying Demand . . . . . . . . 40
Ting Zhang, Shuqing Liu, Ping Feng, Yali Zheng, and Wenge Chen
Research on the Demands of the Elderly in the Community Home-Based
Care Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Aobo Lyu, Xian Cheng, Ying Zhao, Liang Zhou, and Hongjiao Fu
The Utilization of Online Medical Resources and the Influencing Factors. . . . 66
Hui Wei, Ruixue Fang, Tingting Zhang, and William Yu Chung Wang
The Adoption of Artificial Intelligence in the E-Commerce Trade
of Healthcare Industry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
Yan Kong, Yilin Hou, and Shiwei Sun
The Effectiveness of the Physician-Patient Relationship Crisis
Communication Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89
Tingting Zhang, Menghui Liu, Xiangbin Yan, and Jiahua Jin
The Influence of User Perceived Value of Sports APP on Platform
Commodity Purchase. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96
Yidan Liu, Yajun Shen, and Shiwei Sun
Developing a Smart Personal Health Monitoring Architecture
and Its Capacity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118
Si Li, Yichuan Wang, and Minhao Zhang
