Artificial Intelligence and Data Science in Healthcare Applications - Ethical, Predictive, and Deep Learning Methods

Aug 7, 2026

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Artificial Intelligence and Data Science in Healthcare Applications examines how AI and data science reshape predictive analytics and outlier detection across industries, with a focus on healthcare use cases. It covers machine learning, neural networks, NLP, and the ethics of AI, emphasizing algorithmic bias and privacy in predictive systems. Real-world case studies and implementation-oriented tutorials support the development of scalable intelligent solutions, including lung disease detection, lung cancer prediction, and mental well-being assessment via wearable sensors.

LanguageEnglish

CategoryHealthcare

FormatPDF

Pages499

Reading Time20 h 57 min

AccessFree to download

Overview of AI and Data Science in Healthcare

Predictive analytics and outlier detection

Machine learning, neural networks, and NLP

Ethical implications: bias and privacy

Real-world healthcare case studies

Applications and tutorials with major libraries

Lung disease detection and lung cancer prediction

Mental well-being assessment using wearable sensors

[OceanofPDF.com](OceanofPDF.com) Artificial Intelligence and Data Science in Healthcare Applications Artificial Intelligence and Data Science in Healthcare Applications provides a thorough in-depth examination of how AI and data science are transforming predictive analytics and outlier detection in every industry. With in-depth examinations of machine learning, neural networks, NLP, and ethics of AI, this book prepares readers with both theoretical principles and practical tools to create smart, scalable systems. Real-world healthcare, cybersecurity, and finance case studies exemplify real world applications, and tutorials with leading libraries serve as a starting point for implementation. Features: Offers a broad overview of both foundational and advanced topics in artificial intelligence and data science, focusing particularly on their applications in prediction and detection. Addresses the ethical implications and social impact of artificial intelligence and data science, discussing topics such as algorithmic bias, privacy, and the ethical use of predictive technologies. Discusses enhanced deep learning model to detect lung diseases from Chest-Xray. Highlights lung cancer prediction using variational autoencoders and early stopping for neural network clustering and optimal tuning. Evaluates mental well-being through wearable sensors utilizing machine learning. It will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer engineering, information technology, and biomedical engineering. [OceanofPDF.com](OceanofPDF.com) Computational and Intelligent Systems Series Editor: Ramesh Chandra Poonia CHRIST (Deemed to be University), Bangalore, Karnataka, INDIA- 560029 About the Series: In todays’world, the systems that integrate intelligence into machine-based applications are known as intelligent systems. In order to simplify the manmachine interaction, intelligent systems play an important role. The books under the proposed series will explain the fundamentals of intelligent systems, reviews the computational techniques and also offers step-by-step solutions of the practical problems. Aimed at senior undergraduate students, graduate students, academic researchers and professionals, the proposed series will focus on broad topics including artificial intelligence, deep learning, Image processing, cyber physical systems, wireless security, mechatronics, cognitive computing, and industry 4.0. Natural Language Processing and Information Retrieval Principles and Applications Edited By Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar Soft Robotics for Medical and Healthcare Applications Edited by Shaik Himam Saheb, TharakeshwarAppala and Mohammad S Khan Smart Cyber Physical Systems Innovations and Real-World Implications Edited by Ramesh Chandra Poonia, Kamal Upreti and Mohammad S Khan Cognitive Cloud Computing Building Intelligent Systems for Tomorrow Edited by Fr. Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam and Danish Nadeem Computational Techniques in Precision Agriculture Algorithms and Applications Edited by Bhoomika Batra, Vinod Kumar Shukla and Vaibhav Bhatnagar Artificial Intelligence and Data Science in Healthcare Applications Edited by Ashwani Kumar, Gautam Srivastava, P. K. Gupta and Mohit Kumar For more information on this series page, please visit our website link: [https://www.routledge.com/Computational-and-Intelligent-Systems/book](https://www.routledge.com/Computational-and-Intelligent-Systems/book)series/CRCCIS [OceanofPDF.com](OceanofPDF.com) Artificial Intelligence and Data Science in Healthcare Applications Edited by Ashwani Kumar Gautam Srivastava P. K. Gupta Mohit Kumar [OceanofPDF.com](OceanofPDF.com) Designed cover image: © Shutterstock Images First edition published 2026 by CR

FAQs

What core healthcare capabilities does the book focus on for AI and data science?

It concentrates on predictive analytics and outlier detection, showing how these capabilities translate into healthcare applications.

Which AI and data science topics are emphasized in the coverage?

The book examines machine learning, neural networks, and NLP, while also addressing ethics and social impact.

What specific medical and health applications are highlighted?

It discusses deep learning methods for detecting lung diseases from Chest-Xray, lung cancer prediction using variational autoencoders with tuning strategies, and mental well-being evaluation using machine learning on wearable sensors.

Aug 7, 2026

Upload by Finn