ヘルスケアとセキュリティにおける機械学習：発展、障害、解決策 Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions

著者名：Pranav, Prashant (EDT)/Patel, Archana (EDT)/Jain, Sarika (EDT)

CRC Press（2024/01/19発売）

• 言語：ENG
• ISBN：9781032478418
• eISBN：9781003825906

Description

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