Big data analytics and intelligent applications for smart and secure healthcare services / edited by Kamal Upreti, Nishant Kumar, Mohammad Shabbir Alam, Mohammad Shahnawaz Nasir, Debabrata Samanta.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2025. |
| Description | volumes cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Upreti, Kamal. |
| Other author/creator | Kumar, Nishant (Of Amity University) |
| Other author/creator | Alam, Mohammad Shabbir. |
| Other author/creator | Nasir, Mohammad Shahnawaz. |
| Other author/creator | Samanta, Debabrata, 1987- |
| Series | Computational and intelligent systems |
| Partial contents | Screen time and health outcomes in female children : a machine learning analysis of overweight status and yearly illness frequency / Anshul Srivastava, Suryya Farhat, Pratibha Pandey, Sonalika Srivastava -- Automatic technology implications on farm agriculture and world socio-economic impact / Korab Jashari, Jona Gecaj, Jona Berbatovci, Artesa Qela, Debabrata Samanta -- Harnessing deep learning for early detection of Covid-19 thorough chest x-rays / B. Narendra Kumar Rao, B. Bhaskar Kumar Rao, Nagendra Panini Challa. |
| Abstract | "The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence. The book explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability. It highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers. The book discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation. It lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints. The book covers computational intelligence techniques like Fuzzy Logic, Neural Networks, and Evolutionary Computations, emphasizing their role in solving complex, data-driven healthcare problems. Topics include data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies. It will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2024042163 |
| ISBN | 9781032832791 (hbk) |
| ISBN | 9781032832760 (pbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |