1st Edition

Machine Learning in Biomedical and Health Informatics Current Applications and Challenges

290 Pages 80 B/W Illustrations
by Apple Academic Press

290 Pages 80 B/W Illustrations
by Apple Academic Press

Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The... Read more

1. Role of Machine Learning in High-Throughput Screening of Drug Molecules

Dhrity Chawda, Shatabdi Basu, Anushree Das, Koena Mukherjee, and Koel Mukherjee

2. Solving a Capacitated Vehicle Routing Problem with Time Windows Using Dijkstra’s Algorithm: A Case Study on COVID Vaccine Distribution

Siddharth Apoorv, Ayush Shankar, Shubham Chatterjee, and Bappa Acherjee

3. Heart Disease Prediction: A Clustering-Based Clinical Decision Support Approach

Rajendrani Mukherjee, Amartya Chakraborty, Shibaprasad Sen, and Sudip Naskar

4. Application of Fuzzy Tools to Avoid Reoccurrence of Prostate Cancer Post-Treatment

Priya Dubey and Surendra Kumar

5. Machine Learning: A Quantum Leap in Data Mining Modalities for Healthcare Upliftment

Kirti Sharma, Pawan K. Tiwari, K. P. S. Parmar, S. K. Sinha, and Suman Pandey

6. Impact of Matrix Factorization-Based Dimensionality Reduction in the Prediction of Diseases

Ritesh Jha, Vandana Bhattacharjee, and Abhijit Mustafi

7. Applications of Bioinformatics and Machine Learning Algorithms in Survival Analysis of Cancer Patients

Aakansha Singh and Anjana Dwivedi

8. Speech Signal Analysis Using Gammatone-Frequency Cepstral Coefficient for Parkinson's Disease Prediction

Pandit Vivek Kumar Pandey and Sitanshu Sekhar Sahu

9. Evaluating the Performance of Tree-Based Classifiers for Predicting Marginal and Acute Cardiovascular Diseases: A Comprehensive Review

Poonam Moral and Debjani Mustafi

10. Human Health Data Analysis Using Machine Learning

Satya Prakash Singh and Rakshita Dung Dung

11. COVIDIncResNet: An Efficient Approach for CNN-Based COVID Classification Model Using ECG Images

Nandini Kumari, Shamama Anwar, and Vandana Bhattacharjee

12. The Role of Artificial Intelligence in Medical Image Analysis for Disease Diagnosis

Rashmi Kumari, Subhranil Das, Akriti Nigam, and Raghwendra Kishore Singh

13. Application of Machine Learning in Bioinformatics: Capture and Interpret Biological Data

Kirtiman Mahata, Shrestha Sengupta, Manti Biswas, Soumen Ghosh, Ayushman Kumar Banerjee, Soumen Kumar Pati, and Chittabrata Mal

Biography

Sudip Kumar Sahana, PhD, is an Associate Professor of Computer Science and Engineering at the Birla Institute of Technology, Mesra, India. His research and teaching interests include soft computing, computational intelligence, distributed computing, and artificial intelligence. He has authored many articles, research papers, and books and is also an editorial board member and reviewer for several reputed journals. He is also the inventor of five patents in the field of artificial intelligence. He has carried out numerous R&D-sponsored projects of around 1.22 million USD.

Rajendrani Mukherjee, PhD, is an Associate Professor of Computer Systems & Information Technology at the Institute of Engineering and Management of the University of Engineering and Management, Kolkata, India. She was formerly affiliated with the Calcutta Institute of Engineering and Management and with multinational corporations such as IBM and Fuzzy Logix. She has published journal and conference research papers and book chapters and served as a conference session chair.

Panchali Datta Choudhury, PhD, is an Assistant Professor at the University of Engineering and Management, Kolkata, India, in the Department of Computer Science and Technology. She completed her PhD in Computer Science and Engineering at the National Institute of Technology, Durgapur, India. Her research interest includes optical networking and protection management in optical networks. She is a member of the Optical Society of America and IEEE.

Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has published over 130 research papers in international journals and peer-reviewed conferences and has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards for his work. He is editor of several book series.