It is internationally recognized that future healthcare systems will be supported by pervasive healthcare systems in order to target the upcoming societal health challenges. Pervasive Health and Technology (PHT) Journal is a cross-disciplinary journal focusing on issues related to development, delivery and management of pervasive healthcare and the impact of technology within future healthcare systems.
The journal aims to become an information source and to create a community of shared interests between health professionals, technologists, patients and other professionals related to pervasive healthcare.
The journal will present and discuss issues pertaining to personal electronic health assistants, health crowdsourcing, data mining and knowledge management, IT applications to needs of patients, disease prevention and awareness, electronic and mobile health platforms including design, implementation and evaluation of supporting hardware and software in ambulant and hospital workflows, needs of physicians, nurses and other healthcare staff.
Knowledge Representation and Reasoning
Pervasive Healthcare Management
Guest editors: Dr. Logesh Ravi (Sri Ramachandra Institute of Higher Education and Research, Chennai, India)
Guest editors: Prof. Saikishor Jangiti (School of Computing, SASTRA Deemed University, Thanjavur, India)
Guest editors: Nianyin Zeng (Xiamen University, China)
Call for Papers: Special issue on: Artificial Intelligence in BioMedical (Manuscript submission deadline: 30/09/2019; Notification of acceptance: 21/10/2019; Submission of final revised paper: 11/11/2019; Publication of special issue (tentative): 25/11/2019)
Guest editors: Pengjiang (William) Qian (Jiangnan University, China)
Guest editors: Raymond F. Muzic Jr. (Case Western Reserve University, USA)
Guest editors: Yuanpeng Zhang (Nantong University, China)
Call for Papers: Special issue on: Transfer Learning Methods Used in Medical Imaging and Health Informatics (Manuscript submission deadline: 1 October 2019; Notification of acceptance: 2 December 2019; Submission of final revised paper: 15 December 2019; Publication of special issue (tentative): January 2020)
Guest editors: Shuihua Wang (University of Leicester, UK)
Guest editors: Zhengchao Dong (Columbia University, United States)
Call for Papers: Special issue on: Data Preprocessing for Big Biomedical Data in Deep Learning Models (Manuscript submission deadline: Feb 29, 2020; Notification of acceptance: Jun 30, 2020; Submission of final revised paper: July 30, 2020; Publication of special issue (tentative): Sep 30, 2020)
Natalia Romero Herrera. Dr. Romero Herrera works as an Assistant Professor at the Faculty of Industrial Design Engineering, Delft University of Technology, in The Netherlands. After obtaining a Computer Engineer title from University of Chile, Dr. Romero Herrera joint a 2 years post-graduate program and conducted her PhD research within the disciplines of Human-Computer Interaction (HCI) and User-Centred Design at Eindhoven University of Technology, in The Netherlands. Currently she has more than 10 years of experience as a design researcher in the area of personal informatics, exploring data-centric interactions that are adopted by people in their daily life. Involved in a dozen of National and European multidisciplinary research projects, Dr. Romero Herrera’s research has contributed to the design and development of in-situ data-centric design methods with the aim to contextualise knowledge and in that way contribute to the design of user-centric innovations. Her design methodology has contributed to the field of Sustainability and Healthcare Living labs. In addition, her research developments has contributed to data-enabled design concepts that aim to empower people in making informed decisions that positively impact quality of life and environmental impact. Her design concepts has contributed to applications areas such as independent living, e- Health and self-management. Dr. Romero Herrera has served as reviewer of a wide number of HCI and design journals, for example TOCHI, JAISE, ACM Transactions, Pervasive Health and Technologies, Behaviour and Technologies, Design studies. She has also participated actively as associate chair as well in the review committee of a range of technology and design conferences. She has recently obtained a national grant to generate contextual knowledge on food behaviour for the creative industry to design innovations in the prevention of overweight, and a European grant to demonstrate the impact of an in-situ data-centric platform as a low-cost energy strategy to stimulate secondary schools across Europe in the reduction of greenhouse emissions and the increase of wellbeing in schools.
Dr. Manik Sharma is an MCA, UGC-NET qualified and has received his Ph.D. degree in “Distributed Query Optimization”. He has more than 12 years of teaching experience. He is working in the area of Data Mining, Machine Learning and Soft Computing with specialization in the diagnosis of diseases and modeling of DSS query optimizer. The thrust area is to improve the predictive accuracy in early diagnosis of several fatal human disorders. He has published 3 books related to Computer Network, Internet Applications, Management Information System and Database Theory. In addition, he has also published more than 25 research papers in various journals of International repute including Scopus and Thomson Reuters. He has also presented more than ten research articles in various national and international UGC and IEEE conferences. Moreover, he is an active member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).