TY - GEN N2 - This book constitutes selected and revised papers from the Second International Conference on Digital Health and Medical Analytics, DHA 2020, held in Beijing, China, in July 25, 2020. The 5 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 75 submissions. The papers present discussion on such topics as social networks, analytics and engagement with health devices, big data, public health surveillance, persuasive technologies, epidemic intelligence, participatory surveillance, emergency medicine, serious games for public health interventions and automated early identification of health threats and responses. DO - 10.1007/978-981-16-3631-8 DO - doi AB - This book constitutes selected and revised papers from the Second International Conference on Digital Health and Medical Analytics, DHA 2020, held in Beijing, China, in July 25, 2020. The 5 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 75 submissions. The papers present discussion on such topics as social networks, analytics and engagement with health devices, big data, public health surveillance, persuasive technologies, epidemic intelligence, participatory surveillance, emergency medicine, serious games for public health interventions and automated early identification of health threats and responses. T1 - Digital health and medical analytics :second International Conference, DHA 2020, Beijing, China, July 25, 2020, Revised selected papers / AU - Wang, Yichuan, AU - Wang, William Yu Chung, AU - Yan, Zhijun, AU - Zhang, Dongsong, VL - 1412 CN - R858.A2 N1 - "The second DHA conference was held virtually on 25 July 2020"--Preface N1 - Includes author index. ID - 1437941 KW - Medical informatics KW - Artificial intelligence KW - Médecine KW - Intelligence artificielle en médecine SN - 9789811636318 SN - 9811636311 TI - Digital health and medical analytics :second International Conference, DHA 2020, Beijing, China, July 25, 2020, Revised selected papers / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3631-8 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3631-8 ER -