Smart Healthcare Analytics: State of the Art

Smart Healthcare Analytics in IoT enabled Environment: An overview.- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia.- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques.- Resource Management Challenges in IoT based healthcare system.- A Comprehensive and Analytical Study of Smart Healthcare with IoT.- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products.- Study and Impact Analysis of  Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data.- A Review of Flying Robot Applications in Healthcare.- Application of Deep Learning  in Biomedical Informatics and Healthcare.- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis.- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence.- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare.- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee.- Ranking of  SARS-CoV-2 Vaccines with reference to India.- RFID based Patient Billing Automation Using Internet of Things (IoT).

Dr. Prasant Kumar Pattnaik, Ph.D (Computer Science), Fellow IETE, Senior Member IEEE, is a professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer ,IGI Global and Wiley Publication, and he has co-authored the popular Computer Science and Engineering text books, "Fundamental of Mobile Computing", PHI and "Cloud Computing Solutions: Architecture, Data Storage, Implementation and Security", John Wiley & Sons Inc. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems and brain computer interface. He is one of the associate editor of Journal of Intelligent and Fuzzy Systems, IOS Press, an associate editor of Recent Patentson Computer Science, Benthams Science, and  a series editor of Advances in Quantum Computing book series, Wiley-Scrivener Publication, USA and Intelligent Systems Book Series ,CRC Press, Taylor Francis Group, USA.

Dr. Ashlesha Vaidya, MBBS, FRACP, FAANMS, is Staff Specialist Geriatrician at the Royal Adelaide Hospital. She has a wide range of experience in Geriatric Medicine, having worked in hospital and community settings in the public sector over the last decade. She co-edited four books for Springer and World Scientific few years ago.

Dr. Suneeta Mohanty,  Ph.D. (Computer Science), is working as an assistant professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. She has 16 years of experience in teaching various subjects in computer science and engineering to students of undergraduate and postgraduate program. She has published several research papers in peer-reviewed international journals and conferences including IEEE and