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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.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/artificial-intelligence-and-data-science-in-healthcare-applications-ethical-predictive-and-deep-learning-methods/129347/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/artificial-intelligence-and-data-science-in-healthcare-applications-ethical-predictive-and-deep-learning-methods/129347.png","ImageObject",300,407,{"name":92,"@type":93},"Finn","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-20","2026-08-07",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What core healthcare capabilities does the book focus on for AI and data science?","Question",{"text":113,"@type":114},"It concentrates on predictive analytics and outlier detection, showing how these capabilities translate into healthcare applications.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which AI and data science topics are emphasized in the coverage?",{"text":118,"@type":114},"The book examines machine learning, neural networks, and NLP, while also addressing ethics and social impact.",{"name":120,"@type":111,"acceptedAnswer":121},"What specific medical and health applications are highlighted?",{"text":122,"@type":114},"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.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},129347,1786105407,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},549768064778,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","[OceanofPDF.com](OceanofPDF.com)  \nArtificial Intelligence and Data Science in Healthcare Applications  \nArtificial 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.  \nFeatures:  \n 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.  \n 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.  \n Discusses enhanced deep learning model to detect lung diseases from Chest-Xray.  \n Highlights lung cancer prediction using variational autoencoders and early stopping for neural network clustering and optimal tuning.  \n Evaluates mental well-being through wearable sensors utilizing machine learning.  \nIt 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.  \n[OceanofPDF.com](OceanofPDF.com)  \nComputational and Intelligent Systems  \nSeries Editor: Ramesh Chandra Poonia  \nCHRIST (Deemed to be University), Bangalore, Karnataka, INDIA- 560029  \nAbout the Series:  \nIn 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.  \nNatural Language Processing and Information Retrieval  \nPrinciples and Applications  \nEdited By Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar  \nSoft Robotics for Medical and Healthcare Applications  \nEdited by Shaik Himam Saheb, TharakeshwarAppala and Mohammad S Khan  \nSmart Cyber Physical Systems  \nInnovations and Real-World Implications  \nEdited by Ramesh Chandra Poonia, Kamal Upreti and Mohammad S Khan  \nCognitive Cloud Computing  \nBuilding Intelligent Systems for Tomorrow  \nEdited by Fr. Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam and Danish Nadeem  \nComputational Techniques in Precision Agriculture  \nAlgorithms and Applications  \nEdited by Bhoomika Batra, Vinod Kumar Shukla and Vaibhav Bhatnagar  \nArtificial Intelligence and Data Science in Healthcare Applications  \nEdited by Ashwani Kumar, Gautam Srivastava, P. K. Gupta and Mohit Kumar  \nFor more information on this series page, please visit our website link:  \n[https://www.routledge.com/Computational-and-Intelligent-Systems/book](https://www.routledge.com/Computational-and-Intelligent-Systems/book)series/CRCCIS  \n[OceanofPDF.com](OceanofPDF.com)  \nArtificial Intelligence and Data Science in Healthcare Applications  \nEdited by  \nAshwani Kumar  \nGautam Srivastava  \nP. K. Gupta  \nMohit Kumar  \n[OceanofPDF.com](OceanofPDF.com)  \nDesigned cover image: © Shutterstock Images First edition published 2026  \nby CR","cbCailN1pQjg61OW","https://ap.wps.com/l/cbCailN1pQjg61OW","pdf",22677945,499,"English","# Overview of AI and Data Science in Healthcare\n## Predictive analytics and outlier detection\n## Machine learning, neural networks, and NLP\n## Ethical implications: bias and privacy\n## Real-world healthcare case studies\n## Applications and tutorials with major libraries\n## Lung disease detection and lung cancer prediction\n## Mental well-being assessment using wearable sensors","[{\"question\":\"What core healthcare capabilities does the book focus on for AI and data science?\",\"answer\":\"It concentrates on predictive analytics and outlier detection, showing how these capabilities translate into healthcare applications.\"},{\"question\":\"Which AI and data science topics are emphasized in the coverage?\",\"answer\":\"The book examines machine learning, neural networks, and NLP, while also addressing ethics and social impact.\"},{\"question\":\"What specific medical and health applications are highlighted?\",\"answer\":\"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.\"}]","Artificial Intelligence and Data Science in Healthcare Applications - Ethical, Predictive, and Deep Learning Methods | PDF",1257]