This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape. It presents cutting-edge developments ranging from predictive algorithms for disease diagnosis to large-scale data systems that enhance patient outcomes. By emphasizing the synergy between AI and data engineering, the book showcases practical applications in medical imaging, clinical diagnostics, and personalized treatment strategies.

It also thoughtfully examines ethical considerations, data privacy, and healthcare equity, particularly in underserved and rural populations.

Key Features:

Explores state-of-the-art technologies in healthcare, including image segmentation, feature extraction, feature selection, and classification
Provides real-world case studies, practical examples, and hands-on exercises for effective implementation of AI-driven solutions
Bridges disciplines across computer science, data engineering, and biomedical sciences to foster cross-domain collaboration
Highlights innovative research methodologies and their applications in AI-powered healthcare systems
Discusses the role of AI in improving healthcare access, delivery, and outcomes across diverse populations

This book is ideal for professionals, researchers, and policymakers seeking to understand and shape the future of healthcare through the lens of AI and data-driven innovation.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.

No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.

Perlego offers two plans: Essential and Complete

Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.

Both plans are available with monthly, semester, or annual billing cycles.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.

Yes, you can access AI and Data Engineering for Healthcare by Anjan Bandyopadhyay,Tanvir Habib Sardar,Saurav Mallik,Ruhul Amin Hazarika,Mahendra Kumar Gourisaria in PDF and/or ePUB format, as well as other popular books in Computer Science & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

eBook ISBN

Topic

Subtopic

Pharmaceutical, Biotechnology & Healthcare Industry

Index

Computer Science

Cover
Half Title
Title Page
Copyright Page
Table of Contents
About the Editors
List of Contributors
Chapter 1 Artificial Intelligence in Mental Health: A Comprehensive Review
Chapter 2 ABCNN: Attention-Based Convolutional Neural Networks for Arrhythmia Detection from ECG Data
Chapter 3 Beyond the Black Box: Hybrid Deep Learning and Multi-Domain Fusion for Explainable EEG-Based Emotion Recognition
Chapter 4 Economic Implications of Artificial Intelligence in Diabetes Management: Opportunities, Challenges, and Regional Prospects for Odisha
Chapter 5 AI in Early Disease Detection and Prevention
Chapter 6 AI in Medical Imaging: Revolutionizing Diagnostics through AI-Powered Services and Case Studies
Chapter 7 Artificial Intelligence for Disease Prevention: From Diagnosis to Personalized Treatment
Chapter 8 Deep Learning for Cardiovascular Risk Prediction: Unveiling Insights with RNNs and LSTMs
Chapter 9 Predicting Protein–Protein Interactions: Machine Learning Models, Obstacles, and Advancements
Chapter 10 The Role of Natural Language Processing in Analyzing Patient Records for Improved Clinical Decision-Making
Chapter 11 AI-Enabled IADF Framework for MHD Diagnosis
Chapter 12 AI for Remote Healthcare and Telemedicine
Chapter 13 Diabetic Retinopathy Classification Using Convolutional Neural Networks
Chapter 14 Epidemiology and Transmission Dynamics of SARS-CoV-2
Chapter 15 Harnessing Generative Adversarial Networks for Heart Disease Prediction: A Comprehensive Review
Index

About this book

Frequently asked questions

Information

Table of contents