Emerging technologies for combatting pandemics AI, IoMT, and analytics / edited by M. Rubaiyat Hossain Mondal, Utku Kose, V.B. Surya Prasath, Prajoy Podder, Subrato Bharati, and Joarder Kamruzzaman.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, 2023. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Other author/creator | Mondal, M. Rubaiyat Hossain. |
| Other author/creator | Kose, Utku, 1985- |
| Other author/creator | Prasath, V. B. Surya. |
| Other author/creator | Podder, Prajoy. |
| Other author/creator | Bharati, Subrato. |
| Other author/creator | Kamruzzaman, Joarder. |
| Contents | AI-leveraged IoMT and continuous health monitoring and combating pandemics within the IoMT framework / Chitharanjan Billa and Murthy Chavali -- Assessing the economic impact of COVID-19 / Sonia Sharma, Anshi Chandra, Jagadeesh Chandra, and Bose K -- Assessing the economic impact of COVID-19 in the implications of internet of things (IoT) adoption on small and medium enterprises (SMEs) business's sustainability / R. Abd Shukor and W.K. Mooi -- Impact of COVID-19 : insights from key sectors of Indian economy / Reena Malik -- Future scope of artificial intelligence in healthcare for COVID-19 / Manas Kumar Yogi and Jyotsna Garikipati -- Patient recovery and tracing repercussions of COVID 19 in discharged patients / B. Patel, K. Patel, D. Patel, M. Bohara, J. Desai, and A. Ganatra -- The impact of COVID-19 in the maritime economy : a study of Bangladesh / Bornali Rahman, Jakir Hosain, Mohammad Tameem, and Hossain Azmi -- Intelligent optimization and computational learning techniques for mitigating pandemics / Kayode Abiodun Oladapo, Jide Ebenezer Taiwo Akinsola, Moruf Adeagbo, Fathia Onipede, Samuel Ayomikun Akinseinde, and Adebola Abdulwaheed Yusuf -- Various deep learning methodologies for COVID-19 diagnosis / K. Patel,B. Patel, M. Bohra, J. Desai, D. Patel, and A. Ganatra -- Hybridization of decision tree algorithm using sequencing predictive model for COVID-19 / A.A. Awoseyi, J.E.T. Akinsola, O.M. Oladoja, M.A. Adeagbo., and O.O. Adebowale -- CoVICU : a smart model for predicting the intensive care unit stay of COVID-19 patients using machine learning techniques / Sakthi Jaya Sundar Rajasekar and V Aruna Devi -- LSTM-based RNN model for COVID-19 prediction in different states of India / Sowmya V, Mredulraj S. Pandianchery, E.A. Gopalakrishnan, and K.P. Soman -- Dengue in the presence of COVID-19 : evaluation of tree-based classifiers using stratified K-fold on dengue dataset / Supreet Kaur and Sandeep Sharma. |
| Abstract | "This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Emerging technologies for combatting pandemics First edition. Boca Raton : CRC Press, 2022 9781032328287 |
| Genre/form | Electronic books. |
| LCCN | 2022022339 |
| ISBN | 9781003324447 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |