AI and Data Engineering for Healthcare | Real-World Applications and Case Studies
Langue : anglais
Edité par Chapman and Hall/CRC, 2025
- Livre relié
- Neuf

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AI and Data Engineering for Healthcare | Real-World Applications and Case Studies | Anjan Bandyopadhyay (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032988467 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de réf. du vendeur 134307506
- Titre
- AI and Data Engineering for Healthcare | Real-World Applications and Case Studies
- Auteur
- Anjan Bandyopadhyay (u. a.)
- Éditeur
- Chapman and Hall/CRC
- Année de publication
- 2025
- État de l'article
- Neu
- Reliure
- Buch
- Langue
- anglais
- ISBN à 10 chiffres
- 1032988460
- ISBN à 13 chiffres
- 9781032988467
- Poids de l'article
- 801 grammes
- Dimensions
- 240 x 161 x 27 mm
- Catalogues du vendeur
- Bücher
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.
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À propos de l’auteur
Anjan Bandyopadhyay currently serves as an Assistant Professor-II at the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, Odisha, India. He holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology, Durgapur, where his research focused on Algorithmic Mechanism Design in Cloud and Fog Computing. He also earned his M.Tech. in Information Security from NIT Durgapur and his B.Tech. in Computer Science from Asansol Engineering College, affiliated with WBUT. Dr. Bandyopadhyay has over 17 years of academic and research experience across reputed institutions including AMITY University, GITAM University, and Bengal College of Engineering and Technology. His research interests include Algorithmic Game Theory, Cloud and Fog Computing, Metaverse, Quantum Computing, Edge and Health Care Systems, and Autonomous Vehicles.
He has contributed extensively to the scientific community through high-impact journal publications in IEEE Access, IEEE Transactions on Sustainable Computing, Scientific Reports, Mathematics, Sensors, and others. He has also presented his work at premier IEEE conferences. Dr. Bandyopadhyay is the recipient of major research funding under the Visvesvaraya Ph.D. Scheme by the Ministry of Electronics and Information Technology, Government of India, and has been actively involved in innovative patent filings in smart healthcare, automation, and sustainability. In addition to his scholarly contributions, Dr. Bandyopadhyay has collaborated internationally, working with researchers across domains such as Artificial Intelligence, Internet of Things, and Smart Systems. He remains dedicated to fostering academic excellence, interdisciplinary research, and technological innovation in both national and global contexts.
Tanvir Habib Sardar is an Assistant Professor at GITAM University, Bengaluru, India, with over 15 years of teaching and research experience in Big Data, Machine Learning, Distributed Computing, and Fuzzy Sets. He earned his Ph.D. in Computer Science from Visvesvaraya Technological University in 2022. Dr. Sardar has authored or edited seven books and contributed to eight book chapters. He has published more than 40 research papers in reputed SCIE and Scopus-indexed journals and holds 13 patents, including those based on his doctoral work. His recent notable contributions include a 2024 CRC Press book titled Big Data Computing: Advances in Technologies, Methodologies, and Applications, and a Q1 review article in WIREs Data Mining and Knowledge Discovery. He also published a high-impact research article in the Journal of Big Data in 2024. Dr. Sardar is an active reviewer for several international journals and is a lifetime member of multiple professional bodies.
Beyond academics, he has contributed significantly to university-level administration, ERP coordination, curriculum design, student mentoring, and accreditation processes (NAAC, NBA). He is pursuing a post-doctoral fellowship at Astana IT University, Kazakhstan, in the Department of Intelligent Systems and Cybersecurity from March 2025 to March 2026.
Saurav Mallik is currently a Research Scientist in the Department of Pharmacology and Toxicology at The University of Arizona, USA. He previously held postdoctoral positions at Harvard T.H. Chan School of Public Health (2019-2022), University of Texas Health Science Center at Houston (2018-2019), and University of Miami Miller School of Medicine (2017-2018). He earned his Ph.D. in Computer Science & Engineering from Jadavpur University in 2017, with research conducted at the Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata. Dr. Mallik has over three years of research experience at ISI, Kolkata, including roles as a Junior Research Fellow under a DST Swarnajayanti project and as a Visiting Scientist.
He also served as a UGC Research Fellow at Jadavpur University and was awarded a prestigious CSIR Research Associateship in 2017. He is currently on leave from his position as Assistant Professor at Mallabhum Institute of Technology, India. He has published over 180 peer-reviewed papers and contributed to more than 20 books with reputed publishers. With over 1,850 citations and an h-index of 22, his work spans bioinformatics, computational biology, data mining, and machine learning. A recipient of multiple awards--including the "Emerging Researcher in Bioinformatics" (2020) and "Young Scientist Award" (2021)--he is an active member of IEEE, AACR, ACM, and BIOCLUES. Dr. Mallik also serves as editor and reviewer for several leading international journals and conferences.
Ruhul Amin Hazarika is currently serving as an Assistant Professor in the Department of Information Technology at the Manipal Academy of Higher Education (MAHE), Bengaluru, India. He obtained his Ph.D. in Information Technology from North-Eastern Hill University (NEHU), Shillong, where his research focused on the classification and staging of Alzheimer's Disease using machine learning and deep learning techniques applied to brain MRI images. He also holds an M.Tech and B.Tech in Information Technology from NEHU.
Dr. Hazarika's primary research interests lie in the areas of Artificial Intelligence, Machine Learning, Deep Learning, and Medical Image Analysis. His contributions include the development of novel deep neural network architectures, feature extraction methods, and hybrid classification frameworks aimed at improving diagnostic accuracy in neurodegenerative disorders. His published work spans high-impact Q1 and Q2 SCIE-indexed journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences, Journal of Digital Imaging, and Electronics. He has extensive teaching experience in subjects including Computer Organization, Artificial Neural Networks, Python Programming, and AI Applications. Dr. Hazarika's scholarly output includes over nine peer-reviewed journal publications, with a special focus on computational approaches for early detection of Alzheimer's disease. His work is recognized for its innovative use of convolutional and depth-wise separable architectures, as well as performance-driven hybrid models combining DNNs with machine learning classifiers like Random Forests. Dr. Hazarika continues to engage in academic research and mentorship, contributing to the advancement of AI-driven solutions in healthcare and medical diagnostics.
Mahendra Kumar Gourisaria received his bachelor's degree (Hons.) in commerce from Calcutta University, the master's degree in computer application from Indira Gandhi National Open University, New Delhi, and M.Tech. degree in computer science and engineering (CSE) from the Biju Patnaik University of Technology, Rourkela. He completed his Ph.D. degree in CSE from Kalinga Institute of Industrial Technology, Deemed to be University, Bhubneswar, Odisha. He has completed ICWAI (intermediate) from the Institute of Cost and Works Accountants of India and DNIIT from NIIT Sahid Nagar, Bhubaneswar. Currently, he is working as Assistant Professor in the School of Computer Engineering, KIIT Deemed to be University.
He has an experience of more than 22 years in academia and ten years in research. He has published more than 220 research papers in different book chapters, international journals, and conferences of repute. His Google Scholar citation is more than 2500 with an H-index of 25 and an i10-index of 63. His research interests include cloud computing, machine learning, deep learning, data mining, soft computing, and internet and web technology. He is a member of IAENG and UACEE; and a Life Member of ISTE, CSI, and ISCA. He has received the Research Achievement Award from (IUILA 2024) London Metropolitan University. He has served as an organizing committee member for various conferences and workshops, chaired sessions in many international conferences, and a reviewer for many reputed journals, such as Springer and Hindawi, and many reputed conferences.
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Droit de rétractation
Instructions for revocation
Right of withdrawal for the sale of goods
Revocation right for consumers
(A ‘consumer' is any natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities.)
Instructions for revocation
Revocation right
You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the last product, provided you had ordered several products within the scope of a standard order and these products are delivered separately;
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the last part delivery or the last unit, provided you had ordered a product, which is delivered in several part deliveries or units;
To exercise your right of withdrawal, you must inform us (preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Telephone number: +49 (0) 541 / 580 72 84, E-Mail address: mail@preigu.de) by means of a clear declaration (e.g. a letter sent by post, or an e-mail) of your decision to withdraw from this contract. You can use the attached model withdrawal form for this purpose, which is, however, not mandatory.
You can also exercise your right of withdrawal online by clicking on a button labelled accordingly (such as ‘Withdraw from contract' or similar) on the AbeBooks/ZVAB website. If you use this online function, you will immediately receive a confirmation of receipt on a durable medium (e.g. via email) containing information on the content of the withdrawal notice, as well as the date and time of its receipt.
In order to safeguard the revocation period, it is sufficient that you send the notification about the exercise of the revocation right before the expiry of the revocation period.
Consequences of the revocation
If you revoke this contract, we shall repay all the payments, which we received from you, including the delivery costs (with the exception of additional costs, which arise from that fact that you selected a form of delivery other than the most reasonable standard delivery offered by us), immediately and at the latest within 14 days from the day on which we received the notification about the revocation of this contract from you. We use the same means of payment, which you had originally used during the original transaction, for this repayment unless expressly agreed otherwise with you; you will not be charged any fees owing to this repayment.
We can refuse the repayment until the products are returned to us or until you have furnished evidence that you have sent the products back to us, depending on whichever is earlier.
You must return or transfer the products to us immediately and, in any case, at the latest within 14 days with effect from the day on which you inform us of the revocation of this contract. The deadline is maintained if you send the products before the expiry of the 14 day deadline.
You bear the direct costs for returning the products.
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Criteria for exclusion or expiry
The revocation right is not available for contracts
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for delivery of products, which are not prefabricated and for whose manufacturing an individual selection or stipulation by the consumer is important or which are clearly tailored to the personal requirements of the consumer;
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for delivery of products, which can spoil quickly or whose use-by date would be exceeded quickly;
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for delivery of alcoholic drinks, whose price was agreed at the time of concluding the contract, which however can be delivered 30 days after the conclusion of the contract at the earliest and whose current value depends on the fluctuations in the market, on which the entrepreneur has no influence;
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for delivery of newspapers, periodicals or magazines with the exception of subscription contracts. The revocation right expires prematurely in case of contracts
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for delivery of sealed products, which are not suitable for return for reasons of health protection or hygiene if their seal has been removed after the delivery;
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for delivery of products if they have been mixed inseparably with other goods after the delivery, owing to their condition;
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for delivery of sound or video recording or computer software in a sealed package if the seal has been removed after the delivery.
Specimen - revocation form
(If you wish to revoke the contract, please fill up this form and send it back to us.)
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To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
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I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
the provision of the following service () -
Ordered on ()/ received on ()
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Name of the consumer(s)
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Address of the consumer(s)
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Signature of the consumer(s) (only in case of a notification on paper)
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Date
(*) Cross out the incorrect option.
Confidentialité et sécurité
Data protection declaration
Unless stated otherwise below, the provision of your personal data is neither legally nor contractually obligatory, nor required for conclusion of a contract. You are not obliged to provide your data. Not providing it will have no consequences. This only applies as long as the processing procedures below do not state otherwise.
"Personal data" is any information relating to an identified or identifiable natural person.
Responsible person
Contact us at any time. The person responsible for data processing is: Ansas Meyer, Lengericher Landstr. 19, 49078 Osnabrück Deutschland, +49 (0) 541 / 580 72 84, mail@preigu.de
Collection and processing when using the cancellation button
If you have entered into a contract via this platform for which a statutory right of cancellation applies, the platform provides you with a cancellation function (cancellation button) through which you can submit your notice of cancellation immediately.
When using the cancellation function, your personal data (name, email address, details identifying the contract or part of the contract you wish to withdraw from, and the time (date and time) of sending the notice of withdrawal) will only be collected to the extent that you have provided it.
The purpose of data processing is to provide you with the statutory option to withdraw from your contract and to ensure the proper processing of your withdrawal.
The platform operator collects your data on the basis of Article 6(1)(f) of the GDPR, namely the legitimate interest in ensuring the general accessibility of the statutory withdrawal function on the platform. You will receive a confirmation email from the platform operator acknowledging receipt of your notice of withdrawal.
The data is then transmitted to us by the platform operator.
If the contact relates to a contract already concluded between you and us, this data processing is carried out on the basis of Article 6(1)(b) of the GDPR. Otherwise, data processing is carried out on the basis of Article 6(1)(c) of the GDPR, to fulfil a legal obligation to provide an electronic withdrawal function.
We use your email address solely to process your notice of withdrawal. Your data will subsequently be deleted in accordance with statutory retention periods, provided you have not consented to further processing and use.
Collection, processing, and transfer of personal data in orders
When you submit an order we only collect and use your personal data insofar as this is necessary for the fulfilment and handling of your order as well as processing of your queries. The provision of data is necessary for conclusion of a contract. Failure to provide it will prevent the conclusion of any contract. The processing will occur on the basis of Article 6(1) b) GDPR and is required for the fulfilment of a contract with you.
Your data will be shared, for example, with shipping companies, dropshipping or fulfillment providers, payment service providers, service providers for order processing, and IT service providers. We will comply strictly with legal requirements in every case. The scope of data transmission is restricted to a minimum.
Duration of storage
After contractual processing has been completed, the data is initially stored for the duration of the warranty period, then in accordance with the retention periods prescribed by law, especially tax and commercial law, and then deleted after the period has elapsed, unless you have agreed to further processing and use.
Rights of the affected person
If the legal requirements are fulfilled, you have the following rights according to art. 15 to 20 GDPR: Right to information, correction, deletion, restriction of processing, data portability. You also have a right of objection against processing based on art. 6 (1) GDPR, and to processing for the purposes of direct marketing, according to art. 21 (1) GDPR.
Right to complain to the regulatory authority
You have the right to complain to the regulatory authority according to art. 77 GDPR if you believe that your data is not being processed legally.
You can lodge a complaint with, among others, the supervisory authority responsible for us, which you may reach at the following contact details:
Landesbeauftragte für den Datenschutz Niedersachsen Prinzenstraße 5 30159 Hannover Tel.: +49 511 1204500 Fax: +49 511 1204599 E-Mail: poststelle@lfd.niedersachsen.de
Right to object
If the data processing outlined here is based on our legitimate interests in accordance with Article 6(1)f) GDPR, you have the right for reasons arising from your particular situation to object at any time to the processing of your data with future effect.
If the objection is successful, we will no longer process the personal data, unless we can demonstrate compelling legitimate grounds for the processing that outweigh your interests or rights and freedoms, or the processing is intended for the assertion, exercise or defence of legal claims.