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Handbook of data science approaches for biomedical engineering /
Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications tha...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Elsevier, Academic Press,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Handbook of data science approaches for biomedical engineering / |c edited by Valentina Emilia Balas, Vijender Kumar Solanki, Raghvendra Kumar, Manju Khari. |
| 264 | 1 | |a London ; |a San Diego, CA : |b Elsevier, Academic Press, |c [2020] | |
| 300 | |a 1 online resource (xiv, 303 pages) : |b color illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Analysis of the role and scope of big data analytics with IoT in health care domain -- Automated human cortical bone Haversian canal histomorphometric comparison system -- Biomedical instrument and automation : automatic instrumentation in biomedical engineering -- Performance improvement in contemporary health care using IoT allied with big data -- Emerging trends in IoT and big data analytics for biomedical and health care technologies -- Recent advances on big data analysis for malaria prediction and various diagnosis methodologies -- Semantic interoperability in IoT and big data for health care : a collaborative approach -- Why big data, and what it is : basics to advanced big data journey for the medical industry -- Semisupervised fuzzy clustering methods for x-ray image segmentation. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 2 | |a Biomedical Engineering |x statistics & numerical data |0 (DNLM)D001698Q000706 | |
| 650 | 2 | |a Biomedical Engineering |0 (DNLM)D001698 | |
| 650 | 2 | |a Biomedical Technology |0 (DNLM)D020811 | |
| 650 | 6 | |a G�enie biom�edical. |0 (CaQQLa)201-0021888 | |
| 650 | 6 | |a Donn�ees volumineuses. |0 (CaQQLa)000284673 | |
| 650 | 6 | |a Internet des objets. |0 (CaQQLa)000269177 | |
| 650 | 7 | |a biomedical engineering. |2 aat |0 (CStmoGRI)aat300250642 | |
| 650 | 7 | |a Big data |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Biomedical engineering |2 fast |0 (OCoLC)fst00832568 | |
| 650 | 7 | |a Internet of things |2 fast |0 (OCoLC)fst01894151 | |
| 700 | 1 | |a Balas, Valentina Emilia, |e editor. | |
| 700 | 1 | |a Solanki, Vijender Kumar, |d 1980- |e editor. | |
| 700 | 1 | |a Khari, Manju, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Handbook of data science approaches for biomedical engineering. |d London ; San Diego, CA : Elsevier, Academic Press, [2020] |z 9780128183182 |w (OCoLC)1107334157 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128183182 |z Texto completo |