Name: Deep Learning in Personalized Healthcare and Decision Support By Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)
SKU: 9780443194139
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Deep Learning in Personalized Healthcare and Decision Support Summary

Deep Learning in Personalized Healthcare and Decision Support by Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth.

About Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Dr. Garg is one of the pioneer researchers in the world. He ranks in the World's Top 2% Scientist List and Rank #1 in India & World Rank #229 published by Stanford University in the consecutive three years 2020, 2021, and 2022. He is the recipient of the Obada-Prize 2022 - Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 - 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). Dr. Garg's research interests include Computational Intelligence, Multi-criteria decision making, Evolutionary algorithms, Reliability analysis, Expert systems, and decision support systems, Computing with words, and Soft Computing. He has authored more than 400 papers (over 350 are SCI) published in refereed International Journals including IEEE Transactions, Elsevier, Springer, etc. He has also authored seven book chapters. Also, he edited 8 books from Elsevier, Springer, and other publishers. His Google citations are over 17650 with an H-index of- 75. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Complex and Intelligent Systems, Journal of Industrial & Management Optimization, CAAI Transactions on Intelligence Technology, etc. Dr. Garg also shared his knowledge (Teaching as well as Research) with the whole world through their YouTube channel https://www.youtube.com/c/DrHarishGarg. For more details about him, kindly follow his webpage https://sites.google.com/site/harishg58iitr/home Jyotir Moy Chatterjee received M. Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha in 2016, and a B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai in 2013. His research interests include Machine Learning, Deep Learning, and the Internet of Things. He is credited with 26 SCIE journal papers, 9 Scopus journal papers, 43 Google Scholar journal papers, 5 international conference papers, 3 authored books, 21 edited books, 26 book chapters, and 1 Indian patent (published). He is currently serving as a Commissioning Editor of the Journal of Information Technology Research (JITR- IGI Global) and Academic Editor of the Computational Intelligence and Neuroscience (Hindawi). He is also serving as a reviewer for various prestigious Elsevier, Springer, IEEE, and Techpress journals and is also associated with various international conferences as a reviewer, TPC, Advisory board, etc. He is also the book series editor of the Scrivener Publishing- MACHINE LEARNING IN BIOMEDICAL SCIENCE AND HEALTHCARE INFORMATICS (https://www.scrivenerpublishing.com/series.php?id=Machine%20Learning%20in%20Biomedical%20Science%20and%20Healthcare%20Informatics), CRC Press- Chapman & Hall/CRC Cyber-Physical Systems (https://www.routledge.com/Chapman--HallCRC-Cyber-Physical-Systems/book-series/CHCPS), CRC Press- Artificial Intelligence in Smart Healthcare Systems(https://www.routledge.com/Artificial-Intelligence-in-Smart-Healthcare-Systems/book-series/CRCAISHS?publishedFilter=alltitles&pd=published,forthcoming&pg=1&pp=48&so=pub&view=list). For more details about him, kindly follow his webpage https://sites.google.com/view/jyotirmoychatterjee

Part-1 Introduction of Deep Learning in Healthcare1. Exploration of Computational Frameworks of Deep Learning (DL) and Their Applications for Intelligent Health Diagnosis & Treatment Management Strategies 2. Fermatean Fuzzy Approach of Diseases Diagnosis based on a New Correlation Coefficient Operator3. Application of Deep-Q Learning in Personalised Healthcare IoT Ecosystem4. Dia-Glass: A Calorie-Calculating Spectacles for Diabetic Patients using Augmented Reality and Faster R-CNN Part-2 Applications of Deep Learning in Healthcare5. Synthetic Medical Image Augmentation: A GAN based Approach for Melanoma Skin Lesion Classification with Deep Learning6. Artificial Intelligence representations model for drug target interaction with contemporary knowledge and development7. Review of Fog and Edge Computing Based Smart Health Care System using Deep Learning Approaches 8. Deep Learning in Healthcare: Opportunities, Threats & Challenges Green Smart Environment Solution for Smart Buildings and Green Cities: Towards Combating Covid-199. Hybrid and Automated Segmentation Algorithm for Malignant Melanoma using Chain Codes and Active Contours10. Development of a Predictive Model for Classifying Colorectal Cancer Using Principal Component Analysis11. Using Deep learning via LSTM model Prediction of COVID-19 Situation in India12. Post-Covid-19 Indian Healthcare System: Challenges and Solutions13. SWOT PERSPECTIVE OF INTERNET OF HEALTH OF THINGS14. Deep Learning for Clinical Decision Making and Improved Healthcare Outcome15. Development of No Regret Deep learning framework for Efficient Clinical Decision Making16. Symptom Based Diagnosis of Diseases for Primary Health Check-ups Using Biomedical Text Mining17. Deep learning for healthcare: opportunities, threats and challenges18. Deep learning IoT in Medical and Healthcare19. Deep Learning in Drug Discovery20. Avant-Garde Techniques in Machine for detecting Financial Fraud in Healthcare21. Predicting mental health using social media: A roadmap for future development22. Applied Picture Fuzzy sets with its Picture fuzzy Database for Identification of patients in a Hospital23. A Deep Learning Framework for Surgery Action Detection24. Understanding of Healthcare Problems and Solutions using Deep Learning25. Deep Convolution Classification Model-based COVID-19 Chest CT Image Classification26. Internet of Medical Things In Curbing Pandemics

Additional information

Sku

NGR9780443194139

ISBN 13

9780443194139

ISBN 10

0443194130

Title

Deep Learning in Personalized Healthcare and Decision Support by Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Author

Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Condition

New

Binding type

Paperback

Publisher

Elsevier Science Publishing Co Inc

Year published

2023-08-01

Number of pages

400

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Deep Learning in Personalized Healthcare and Decision Support Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Deep Learning in Personalized Healthcare and Decision Support by Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Deep Learning in Personalized Healthcare and Decision Support Summary

Deep Learning in Personalized Healthcare and Decision Support by Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

About Harish Garg (Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India)

Table of Contents

Additional information

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