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Big data analytics for healthcare : datasets, techniques, life cycles, management, and applications /
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaning...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. |
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| Descripción Física: | 1 online resource (xx, 334 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780323985161 0323985165 9780323919074 0323919073 |