Frontiers of ICT in Healthcare

1. Front Matter

   Pages i-xxv

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2. Healthcare Informatics

   1. Front Matter

      Pages 1-1

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   2. Continuous Speech Recognition in Hindi for Health Care Using Deep Learning

      • Shubhojeet Paul, Sujan Kumar Saha, Vandana Bhattacharjee

      Pages 3-11

   3. Improving Mental Health Through Multimodal Emotion Detection from Speech and Text Data Using Long-Short Term Memory

      • Dhritesh Bhagat, Aritra Ray, Adarsh Sarda, Nilanjana Dutta Roy, Mufti Mahmud, Debashis De

      Pages 13-23

   4. Hybridized Support Vector Machine and Adaboost Technique for Malaria Diagnosis

      • Joseph Bamidele Awotunde, Sanjay Misra, Femi Emmanuel Ayo, Akshat Agrawal, Ravin Ahuja

      Pages 25-38

   5. FNH—A Data Repository for Studying Fake News in Healthcare Domain

      • Isha Agarwal, Dipti Rana, Ch Surya Teja, Nunna Naga Surya Sai Daivik

      Pages 39-51

   6. Modeling and Simulation of Total Harmonic Distortion (THD) in Multilevel H Bridge Inverters for Healthcare

      • Akash Mourya, Mithlesh Gautam

      Pages 53-64

   7. Classification of Melanoma Skin Cancer Using Inception-ResNet

      • Sumit Kumar Singh, Shubhendu Banerjee, Avishek Chakraborty, Aritra Bandyopadhyay

      Pages 65-74

   8. Melanoma (Skin Cancer) Classifier Using RESNet

      • Naveen Kanuri, Bhaskar K. Uday, Teegala Tejaswi

      Pages 75-85

   9. Complementarity of Logistic Regression over the Nonparametric Classifications for Improved Decision-Making—A Case of Maternal Health Risk Data

      • Abhijit Roy

      Pages 87-98

   10. Towards Machine Learning-Based Emotion Recognition from Multimodal Data

       • Md. Faiyaz Shahriar, Md. Safkat Azad Arnab, Munia Sarwat Khan, Safwon Sadif Rahman, Mufti Mahmud, M. Shamim Kaiser

       Pages 99-109

   11. A Hybrid Approach for Stress Prediction from Heart Rate Variability

       • Md. Rahat Shahriar Zawad, Chowdhury Saleh Ahmed Rony, Md. Yeaminul Haque, Md. Hasan Al Banna, Mufti Mahmud, M. Shamim Kaiser

       Pages 111-121

3. Machine Learning in Healthcare

   1. Front Matter

      Pages 123-123

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   2. A Method of Genome Sequence Comparison Based on a New Form of Fuzzy Polynucleotide Space

      • Soumen Ghosh, Jayanta Pal, Bansibadan Maji, Dilip Kumar Bhattacharya

      Pages 125-135

   3. Identification of Humans by Using Machine Learning Models on Gait Features

      • Jayati Ghosh Dastidar, Souvik Samanta, Arghya Basu, Santanu Purkait

      Pages 137-149

   4. Efficient Heart Disease Prediction Using Modified Hybrid Classifier

      • Rishabh Pipalwa, Abhijit Paul, Tamoghna Mukherjee, Ashika Jain

      Pages 151-164

   5. An Unstructured Mammogram Analysis for Feasible Classification and Detection of Breast Cancer Using a Convolutional Approach

      • Debkumar Chowdhury, Tirtharaj Sinha, Arnobrata Ghosh, Anurag Unnikannan, Susmit De, Kartik Sau et al.

      Pages 165-177

   6. Emotion Recognition from EEG Data Using Hybrid Deep Learning Approach

      • Trishita Dhara, Pawan Kumar Singh

      Pages 179-189

   7. Colon Cancer Prediction with Transfer Learning and K-Means Clustering

      • Tina Babu, Rekha R. Nair

      Pages 191-200

   8. Lightweight Authentication Protocol for E-Healthcare Systems Using Fuzzy Commitment Scheme

      • Jhuma Dutta, Subhas Barman, Rathit Bandyopadhyay, Moumita Ghosh

      Pages 201-213

The book includes original unpublished contributions presented at the Seventh International Conference on Emerging Applications of Information Technology (EAIT 2022), organized by Computer Society of India, Kolkata, Chapter during March 30–31, 2022. The book covers the topics such as image processing for smart healthcare applications, computer vision and pattern recognition for health care, Internet of Health Things, 5G and beyond in smart health care for sustainable cities.

• Smart Healthcare
• Computer Vision and Pattern Recognition
• Machine Learning
• Health Analytics
• Privacy Preserving Patient Care
• Wireless and Sensor Networks
• Internet of Health Things (IoHT)
• 5G in Smart Healthcare
• IoHT Management
• EAIT 2022 Proceedings

• Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

  Jyotsna Kumar Mandal

• Department of Computer Science and Engineering, School of Computational Science, Maulana Abul Kalam Azad University of Technology, Kolkata, India

  Debashis De

Jyotsna Kumar Mandal, M. Tech. (Computer Science, University of Calcutta), Ph.D. (Engg., Jadavpur University) in the field of Data Compression and Error Correction Techniques and Professor in Computer Science and Engineering, University of Kalyani, India. Former Dean Faculty of Engineering, Technology & Management 2008-2012(two consecutive terms), 32 years of teaching and research experiences. Served as Professor, Computer Applications, Kalyani Govt. Engineering College for two years. Served as Associate and Assistant Professor at University of North Bengal for sixteen years. Life Member of Computer Society of India since 1992 and Life Member of Cryptology Research Society of India. Member of AIRCC. Honorary Chairman of CSI Kolkata Chapter 2016-17. Working in the field of Network Security, Steganography, Remote Sensing and GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. Chief Editor, Advanced Computing: An International Journal, Associate Editor (Guest), Microsystem Technologies, Springer, Chief Editor, CSI Journal of Computing, Editor of Proceedings of ETCS 2012, NIDS-98 and ERC-95 of CSI. Twenty-four scholars awarded Ph.D., four submitted till January 2017, and 8 scholars are pursuing for their Ph.D. degree. Published five books from LAP- Lambert Academic Publishing, Germany, and one book from IGI Global publishers, Indexed by Thomson Reuters. Total number of publications is more than 400 including 180 publications in various International Journals. Edited fifteen volumes as volume editor from Science Direct, Springer, CSI, etc., Organizing various international Conferences of Springer and Science Direct. Director, IQAC, University of Kalyani, Chairman, Center for Information Resource Management (CIRM), Kalyani University. He has successfully executed five Research Projects funded by AICTE, Ministry of IT Government of West Bengal. Department of Higher Education, Government of West Bengal conferred him the “Siksha Ratna” award in 2018.
 
Prof. Debashis De earned his M.Tech. from the University of Calcutta in 2002 and his Ph.D. (Engineering) from Jadavpur University in 2005. He is the Professor and Director in the Department of Computer Science and Engineering of the West Bengal University of Technology, India, and Adjunct Research Fellow at the University of Western Australia, Australia. He is a Senior Member of the IEEE. Life Member of CSI and Member of the International Union of Radio science. He worked as R&D Engineer for Telektronics and Programmer at Cognizant Technology Solutions. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award during 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 at New Delhi and in 2011 at Istanbul, Turkey, from the International Union of Radio Science, Head Quarter, Belgium. His research interests include mobile cloud computing, green mobile networks. He has published in more than 250 peer-reviewed international journals in IEEE, IET, Elsevier, Springer, World Scientific, Wiley, IETE, Taylor Francis and ASP, 100 International conference papers, six researches monographs in springer, CRC, NOVA and ten text books published by Person education. He is Associate Editor of journal IEEE ACCESS, Editor Hybrid computational intelligence, Journal Array, Elsevier.

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