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Titlebook: Next Generation Healthcare Informatics; B. K. Tripathy,Pawan Lingras,Chiranji Lal Chowdhar Book 2022 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 19:26:04 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Next Generation Healthcare Informatics
編輯B. K. Tripathy,Pawan Lingras,Chiranji Lal Chowdhar
視頻videohttp://file.papertrans.cn/667/666196/666196.mp4
概述Provides a holistic discussion on the new landscape of medical technologies.Presents case studies with references to real-world applications.Promotes research-based chapters to enhance research skills
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Next Generation Healthcare Informatics;  B. K. Tripathy,Pawan Lingras,Chiranji Lal Chowdhar Book 2022 The Editor(s) (if applicable) and The
描述.This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance le
出版日期Book 2022
關鍵詞Computational Intelligence; Deep Learning; Machine Learning; Healthcare Informatics; Artificial Intellig
版次1
doihttps://doi.org/10.1007/978-981-19-2416-3
isbn_softcover978-981-19-2418-7
isbn_ebook978-981-19-2416-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Next Generation Healthcare Informatics978-981-19-2416-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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https://doi.org/10.1007/978-981-19-2416-3Computational Intelligence; Deep Learning; Machine Learning; Healthcare Informatics; Artificial Intellig
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Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-GeneratiIntelligent medical systems can easily diagnose the disease predictions that real physicians may overlook by establishing a connection between the disease and the symptoms. These developments have created the need for new hardware and software technologies to process of big data in medical science.
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Deep Learning in Healthcare: Applications, Challenges, and Opportunities,mation. In current biomedical research, numerous types of data have emerged, such as imaging,?electronic health records, text, and sensor data,?all of which are complicated, diverse, inadequately annotated, and usually unstructured. Statistical learning and traditional data mining techniques often n
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