Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions(Artificial Intelligence in Smart Healthcare Systems)

This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.

Table of Contents:
PART I Natural Language Processing Using ML Chapter 1 Application of Classification and Regression Techniques in Bank Fraud Detection Nikita Singh Chapter 2 A Survey on Water Quality Monitoring and Controlling Using Different Modality of Machine Learning Model Pratiksha Singh and Urvashi Chapter 3 Design of Tea Ontology for Precision-based Tea Crop Yield Prediction Using Machine Learning Pallavi Nagpal, Deepika Chaudhary, and Jaiteg Singh Chapter 4 Analyzing the Social Media Activities of Users Using Machine Learning and Graph Data Science Puneet Kaur, Deepika Chaudhary, and Jaiteg Singh PART II AI and ML in Healthcare Chapter 5 Deep Learning-Based Multiple Myeloma Identification Using Micro-imaging Technique Shamama Anwar Chapter 6 Artificial Intelligence (AI) on a Rise in Healthcare Ritwik Dalmia, Sarika Jain, and Atef Shalan Chapter 7 Applications of Multitarget Regression Models in Healthcare Kirti Jain, Sharanjit Kaur, and Gunjan Rani Chapter 8 XAI-based Autoimmune Disorders Detection Using Transfer Learning R.S.M. Lakshmi Patibandla, B. Tarakeswara Rao, Ramakrishna Murthy M, and Hemantha Kumar Bhuyan Chapter 9 Wearable Smart Technologies: Changing the Future of Healthcare Shalini Mahato, Laxmi Kumari Pathak, Soni Sweta, and Dilip Kumar Choubey Chapter 10 Different Security Breaches in Patients’ Data and Prevailing Ways to Counter Them Anup W. Burange and Vaishali M. Deshmukh PART III Security Aspects of ML Chapter 11 The Intersection of Biometrics Technology and Machine Learning: A Scientometrics Analysis Mousumi Karmakar and Keshav Sinha Chapter 12 Can ML Be Used in Cybersecurity? Naghma Khatoon, Sharmistha Roy, and Ritushree Narayan Chapter 13 GAN Cryptography Purushottam Singh, Prashant Pranav, and Sandip Dutta Chapter 14 Security Aspects of Patient’s Data in a Medical Diagnostic System Ankita Kumari