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Digital Health and Medical Analytics: Second International Conference, DHA 2020, Beijing, China, July 25, 2020, Revised Selected Papers PDF

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Yichuan 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 ©SpringerNatureSingaporePteLtd.2021 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. Theregisteredcompanyaddressis:152BeachRoad,#21-01/04GatewayEast,Singapore189721, Singapore 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

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