Dr. Surbhi Bhatia received her doctorate from Banasthali Vidyapith, Rajasthan in 2018. She is currently teaching in King Faisal University, Saud Arabia in the department of Information systems, College of computer science and information technology. She has rich 8 years of teaching and academic experience in different universities including KR Mangalam University, Amity University, Manav Rachna International University. She received her BTech and Mtech in Computer science and Engineering from reputed Indian Universities. She is in the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence, associated with IGI global and also with IEEE Conferences. She is currently editing two books and has published 6 patents in India.

Dr. Ashutosh Kumar Dubey is an expert in the field of Data Mining, Artificial Intelligence and Optimization. He is in the Computer Science and Engineering department in Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. He is Senior Member of IEEE, Professional Member of ACM, Member of IACSIT and IAENG. He is also the Member of IEEE Computer Society Technical Committee on Computer Architecture, Computer Communications, Intelligent Informatics, Software Engineering, Computational Life Sciences, Cloud Computing Community and Smart Grid Community. He has more than 13 years of teaching experience. He has authored a book name Database Management Concepts. He is also heading the organization name ACCENT Social and Welfare Society from 2011. The main aim of this society is to encourage the activities of research and developments through organizing/sponsoring conferences and workshop. He has been associated with many international and national conferences as the Technical Program Committee member and Advisory Board Member. He is also associated as the Editorial Board Member/ Reviewer of many peer-reviewed journals including Elsevier, Springer, BMJ, IOS Press, Bentham Science, Thieme Publishing Group, etc. His research areas are Data Mining, Optimization, Machine Learning, Cloud Computing, Artificial Intelligence, Big Data, IoT and Object-Oriented Programming.

Dr. Rita Chhikara has an excellent teaching experience of more than 20 years in various esteemed institutions. She is BTech from Pune University, received Mtech CSE degree from Punjab Technical University. MBA IT from Sikkim and Manipal University and has completed her PhD from The North cap University (NCU) in Data Mining. She has completed a project titled 'Neural Network based Steganalysis' funded by the Department of Science and Technology (DST) and is currently working on project titled 'Detecting Dementia using Deep Neural Network' funded by DST, CSRI. Her current areas of research include Data Mining, Pattern Recognition, Machine Learning, Image Processing and Deep Learning. She has guided around 20 BTech projects, 12 Mtech thesis and currentlyguiding 5 PhD Scholars. She has Published 35 Papers in peer reviewed International Journals with good indexing and reputed national/international conference proceedings. Her citation number since 2015 is 139. She has chaired a session at IEEE conference, ISMS Malaysia 2015 and received excellent paper award for research work presented at ICCI-SEM-2019, Singapore. She is recipient of 'Teaching and Research Excellence National Award'. Optum Technologies had invited her to deliver a talk on emerging technology of Machine Learning in TedEd 2018. She is member of ISTE, ACM, IEEE and IET. She is reviewer for International Journal of Computer Science and Information Security (ESCI) and Editorial member of Journal Progress in Human Computer Interaction, Whioce Publishing, Singapore.

Ms. Poonam Chaudhary is currently working as an Assistant Professor in Department of CSE & IT, North Cap University, India. She has more than nine years of experience in teaching as an Assistant Professor and two years of industry experience as a Software Engineer at EIEL, New Delhi. She has completed her BTech from University of Rajasthan, Jaipur followed by Mtech from CITM, Faridabad affiliated by MDU Rohtak. Currently, she is pursuing PhD from MRIIRS Faridabad in the field of Brain Computer Interfacing using EEG signals. . She has also completed GIAN course on "Brain Computer Interfaces" at IIT Guwahati and GIAN course on "Machine Learning" at MNIT Jaipur. She was mentor of four startup projects in the field of computer science. She has 10+ publications to her credit in various leading International and National Journals/Conferences in the various areas like Brain Computer Interfacing, Data Mining and Machine Learning. She has published one Indian patent also.

Describes the advances of computing methodologies for life and medical science data

Presents applications of artificial intelligence in healthcare along with case studies and datasets

Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians

Introduction.- Part -I Medical Expert Systems.- Mobile Agents in Healthcare.- Fuzzy Expert Systems in Medical Domain.- Expert Systems for Bioinformatics.- Virtual Reality and Augmented Realty support systems.- Brain Computer Interface for rehabilitation.- Robotics in healthcare.- Part -II Machine Learning in Healthcare.- Rule based Learning in Healthcare.- Classification and Regression in Healthcare.- Clustering algorithms.- Deep Learning in Healthcare.- Big Data.- Nature Inspired Algorithms.- Part III Case Studies.- Corona Virus Study.- Dementia Prediction.- Brain Injury Data Analysis.- Pesticide data Analysis for cancer detection.- Conclusion.