Intelligent and secure solutions applying machine learning techniques
The significance of this book is to aware both the developers and the users about the challenges and opportunities of recent revolutionary advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development. Flow of the content of this book would be starting from problem identification of smart sensors based continuous and seamless health monitoring irrespective of user mobility at indoors as well as outdoors. The solutions will be available in the form of state-of-the-art by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Also the future direction and scope will be precisely documented for interested readers. This would help readers to bridge the gap in their understanding of three major domains and their interconnection –
1) Hardware testbed and software APP development for data collection, intelligent protocols for analysis and knowledge extraction
2) Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support
3) Security experts to ensure data correctness for precise advice
Abstract Submission: October 15, 2020
Abstract Acceptance: October 20, 2020
Full Chapter Submission: December 20, 2020
Feedback of Reviewers: February 15, 2021
Revised Chapter Submission: March 15, 2021
Final Acceptance Notification: April 20, 2021
Authors should send their abstracts and chapters/articles through easychair only: https://easychair.org/conference/?conf=itsh2020
Abstract: The abstract must contain 400-500 words including title, chapter outline/content and author (s) affiliation.
Chapter/article: Each chapter/article must contain 20 pages within 10% similarity index.
1. Suparna Biswas, Maulana Abul Kalam Azad University of Technology, WB, India
2. Chandreyee Chowdhury, Jadavpur University,India
3. Biswaranjan Acharya, KIIT Deemed to be University, India
4. Chuan-Ming Liu, National Taipei University of Technology (Taipei Tech), Taiwan
The edited book will be published by Smart Computing and Intelligence series under Springer Nature.
All questions about submissions should be emailed to iothealthcarebook@googlegroups.com