Machine Learning Applications for Data Analysis in Healthcare Systems

1. Classification of In-Hospital Mortality for Heart-Failure Patient Using a Resource Constraint Dataset

Diganta Sengupta, Subhash Mondal, Suvam Gupta, and Shivam Agarwal

2. Predicting the Pandemic Outbreak (Covid-19) Using Facebook Prophet

Keshav Kaushik

3. Mobile App for Analyzing and Predicting Depression in Human Beings

Virendra Kushwah, Prachi Bhatt, Toshini Agrawal, Jigyasa Bisht, and Shivangi Singh

4. Machine Learning-Based Analytics for Premature Rheumatoid Arthritis and Osteoarthritis Detection in Clinical Practices: A Review

Ganesh Kumar M. and Agam Das Goswami

5. Performance Evaluation of Heart Disease Classification Using Deep and Machine Learning-Based Methods

Adyasha Rath and Ganapati Panda

6. Application of Artificial Intelligence in Healthcare Sector: Benefits and Challenges

Ram Singh, Rohit Bansal, and Niranjanamurthy M.

7. Design and Development of Anticancerous Drug Molecules by Structure and Ligand-Based Drug Designing Computational Approaches

Pallavi Singh, Somya Sinha, Akash Srivastava, and Nivedita Upadhyay

8. Smart Healthcare Systems: An Exigency of Current Era

Anupama Sharma, Prashant Srivastava, Prateek Chaurasia, Shweta Roy, and Sandhya Avasthi

9. Technology-Enabled Smart Healthcare toward Smart Society 5.0

Chabi Gupta, Fincy Pallissery, and Kriti Parashar

10. ELM-HC: An Approach for Heartbeat Classification Based on a Machine-Human Interaction Model

Vipul Narayan, Pawan Kumar Mall, Swapnita Srivastava, Pallavi Jain, Vimal Kumar, Anjey Mani Tripathi, and Sudeshna Chakraborty

11. Bow-Tie Construction from Accident Narratives: A Text-Mining Approach

Ashish Garg, Souvik Das, Amardeep Kumar, and J Maiti

12. Finger Knuckle Print: an Emerging Person Recognition Trait for Online Applications

Brajesh Kumar Singh, Anil Kumar, and Sudeshna Chakraborty

13. Face Mask Detection Using Deep Learning and Image Processing Algorithms

Ajitesh Gautam, Ashish Yadav, Pallavi Goel, and Shantanu Singh

Biography

Sudeshna Chakraborty, PhD, is a Professor and Research Group Head of data analytics and deep learning at Galgotias University, India. With over 20 years of academic and industry experience, she has received several awards. She has been a keynote speaker, an organizing member of international conferences, a member of review committees, session chair, speaker at training and faculty development programs, etc. She has filed eight patents in the field of robotic, solar energy, and sensors and has published in Scopus- and SCI-indexed journals and international conferences.

Jyotsna Singh, PhD, is Chairperson of the School of Technology Management and Engineering at NMIMS, India. In her more than 21-year career in education, she has been Director, Dean of Students, etc., with institutions including NIT Kurukshetra, Northcap University, Amity University, Lloyd Group, IILM, and others. She has participated in workshops, has undertaken government-funded projects, and has initiated dozens of university-related programs. She has published and presented research papers in journals and conferences as well as several departmental books.

Praveen Kumar Shukla, PhD, is an Assistant Professor with the Department of IoT and Intelligent Systems at Manipal University Jaipur, India. Dr. Shukla’s research interests focus on brain computer interfacing, medical image processing, and robotics. He has published 40 research articles and is a reviewer for the several IEEE journals. He is currently supervising PhD students. He has six patents to his name. He has received four best paper awards and a best thesis award.

Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has published over 130 research papers and has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling and is also an editor for several book series. He has received numerous awards for his work. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).