Machine Learning in Healthcare and Security
Advances, Obstacles, and Solutions
1st Edition
Published on 19. January 2024
224 pages
978-1-003-82588-3 (ISBN)
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.
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.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ebooks
Target group
College/higher education
Professional and scholarly
Illustrations
20 Tables, black and white; 45 Line drawings, black and white; 11 Halftones, black and white; 56 Illustrations, black and white
ISBN-13
978-1-003-82588-3 (9781003825883)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Prashant Pranav | Archana Patel | Sarika Jain
Machine Learning in Healthcare and Security
Advances, Obstacles, and Solutions
Book
06/2025
1st Edition
CRC Press
€76.30
Shipment within 10-20 days
Prashant Pranav | Archana Patel | Sarika Jain
Machine Learning in Healthcare and Security
Advances, Obstacles, and Solutions
Book
01/2024
1st Edition
CRC Press
€145.50
Shipment within 10-20 days
Persons
Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time faculty at School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has completed her Postdoc from the Freie Universitaet Berlin, Berlin, Germany. She has filed a patent entitled "Method and System for Creating Ontology of Knowledge Units In A Computing Environment" in Nov 2019. She has received Doctor of Philosophy (Ph.D.) in Computer Applications and PG degree both from the National Institute of Technology (NIT) Kurukshetra, India in 2020 and 2016 respectively. She has qualified GATE and UGC-NET/JRF exams in year 2017. Dr. Patel has also contributed in research project funded by Defence Research and Development Organization (DRDO), for the period of two year. Dr. Patel is an author or co-author of more than 40 publications in numerous referred journals and conference proceedings. She has been awarded best paper award (four times) in the international conferences. She has served as a reviewer in various reputed journal and conferences. Dr. Patel has received various awards for presentation of research work at various international conferences, teaching and research institutions. She has edited six books and served as a guest editors in many well reputed journals. Dr. Patel served as a keynote at ICOECA-2022 and ICSADL 2022. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert System and Knowledge Warehouse.
Dr. Prashant Pranav is an Assistant Professor in the Department of Computer Science and Engineering, Birla Institute of Technology, Mesra. He completed his PhD from Birla Institute of Technology, Mesra in the field of Cryptography. His research interests include Cryptography, Cyber Security, Biometric Security, Digital Forensics, Algorithm Analysis, Network Security, Statistical Analysis and Musical Cryptography. He has published many research articles and conference proceedings in journals of repute. He also has authored four reference books with well known publishers.
Dr. Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra, India. Dr. Jain has authored or co-authored over 150 publications, including books. Dr. Jain has supervised four doctoral scholars who are well-placed now. She has received grants from DRDO, DST, CSIR, and NIT Kurukshetra for research projects; from AICTE (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and MHRD (twice) for hosting a reputed international faculty and for FDP. She works in collaboration with various researchers across the globe, including in Germany, Austria, Australia, Malaysia, Spain, the USA, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of the CSI. Among the awards and honors she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019 from NIT Kurukshetra. For more and most updated information, see https://sites.google.com/view/nitkkrsarikajain/.
Dr. Prashant Pranav is an Assistant Professor in the Department of Computer Science and Engineering, Birla Institute of Technology, Mesra. He completed his PhD from Birla Institute of Technology, Mesra in the field of Cryptography. His research interests include Cryptography, Cyber Security, Biometric Security, Digital Forensics, Algorithm Analysis, Network Security, Statistical Analysis and Musical Cryptography. He has published many research articles and conference proceedings in journals of repute. He also has authored four reference books with well known publishers.
Dr. Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra, India. Dr. Jain has authored or co-authored over 150 publications, including books. Dr. Jain has supervised four doctoral scholars who are well-placed now. She has received grants from DRDO, DST, CSIR, and NIT Kurukshetra for research projects; from AICTE (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and MHRD (twice) for hosting a reputed international faculty and for FDP. She works in collaboration with various researchers across the globe, including in Germany, Austria, Australia, Malaysia, Spain, the USA, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of the CSI. Among the awards and honors she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019 from NIT Kurukshetra. For more and most updated information, see https://sites.google.com/view/nitkkrsarikajain/.
Content
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
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
