Internet of Things and Personalized Healthcare Systems

1. Front Matter

   Pages i-ix

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2. Sensitivity Analysis of Micro-Mass Optical MEMS Sensor for Biomedical IoT Devices

   • Mala Serene, Rajasekhara Babu, Zachariah C. Alex

   Pages 1-12

3. Enhancing the Performance of Decision Tree Using NSUM Technique for Diabetes Patients

   • Nithya Settu, M. Rajasekhara Babu

   Pages 13-20

4. A Novel Framework for Healthcare Monitoring System Through Cyber-Physical System

   • K. Monisha, M. Rajasekhara Babu

   Pages 21-36

5. An IoT Model to Improve Cognitive Skills of Student Learning Experience Using Neurosensors

   • Abhishek Padhi, M. Rajasekhara Babu, Bhasker Jha, Shrutisha Joshi

   Pages 37-50

6. AdaBoost with Feature Selection Using IoT to Bring the Paths for Somatic Mutations Evaluation in Cancer

   • Anuradha Chokka, K. Sandhya Rani

   Pages 51-63

7. A Fuzzy-Based Expert System to Diagnose Alzheimer’s Disease

   • R. M. Mallika, K. UshaRani, K. Hemalatha

   Pages 65-74

8. Secured Architecture for Internet of Things-Enabled Personalized Healthcare Systems

   • Vikram Neerugatti, A. Rama Mohan Reddy

   Pages 75-80

9. Role of Imaging Modality in Premature Detection of Bosom Irregularity

   • Modepalli Kavitha, P. Venkata Krishna, V. Saritha

   Pages 81-92

10. Healthcare Application Development in Mobile and Cloud Environments

    • B. Mallikarjuna, D. Arun Kumar Reddy

    Pages 93-103

11. A Computational Approach to Predict Diabetic Retinopathy Through Data Analytics

    • Ashraf Ali Shaik, Ch Prathima, Naresh Babu Muppalaneni

    Pages 105-112

12. Diagnosis of Chest Diseases Using Artificial Neural Networks

    • Himaja Gadi, G. Lavanya Devi, N. Ramesh

    Pages 113-119

13. Study on Efficient and Adaptive Reproducing Management in Hadoop Distributed File System

    • P. Satheesh, B. Srinivas, P. R. S. Naidu, B. Prasanth Kumar

    Pages 121-132

This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.

• Personalized Medicine
• Machine Learning
• Neural Networks
• Pattern Recognition
• Online Social Networks
• Data Mining
• Mobile Cloud
• E-health

• Department of Computer Science, Sri Padmavati Mahila Visvavidyalayam, Tirupati, India

  P. Venkata Krishna

• Department of Computer Science and Systems Engineering, Sree Vidyanikethan Engineering College, Tirupati, India

  Sasikumar Gurumoorthy

• Department of Computer and Information Science, Fordham University, Bronx, USA

  Mohammad S. Obaidat

Dr. Sasikumar Gurumoorthy is a Professor at the Department of Computer Science and Systems Engineering, Sree Vidyanikethan Engineering College in Tirupati, India. With 12 years of teaching and 9 years of research experience, he has held various senior positions such as Head of the Department, Chief Superintendent, and Assistant Chief Superintendent of University Exams. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis. He has published more than 90 technical papers in various international journals, conference proceedings, and book chapters. He serves on the editorial board of several international journals like AIRCC, NCICT, MAT Journals, IFERP and IJERCSE, and is a reviewer for 11 international journals. For his outstanding contributions in the Wipro-Misson10X, he was awarded the In Pursuit of Excellence in Engineering Education through Innovation Prize (in 2009). He has received a Research Grant from DST-CSRI to work on an “Intelligent System to Classify Human Brain Signals for Finding Brain Diseases” and is currently associated with many professional bodies, including the CSI, IEEE, ACM, ISTE, IAENG, AIRCC, IACSIT and INEER.

Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director at Sri Padmavati Mahila University, Tirupati, India. He received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include mobile and wireless systems, cross-layer wireless network design, QoS and cloud computing.

Dr. Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally respected academic/researcher/scientist. He received his Ph.D. and M.S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. His previous positions include Advisor to the President of Philadelphia University for Research, Development and Information Technology; President of the Society for Molding and Simulation International, SCS; Senior Vice President of SCS; Dean of the College of Engineering at Prince Sultan University; Chair and Professor of the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University; Chair and Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University. Dr. Obaidat is currently a Full Professor at the King Abdullah II School of Information Technology at the University of Jordan.

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