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Handbook of data science approaches for biomedical engineering / Edited by Valentina Emilia Balas [and three others].
- Format:
- Book
- Language:
- English
- Subjects (All):
- Biomedical engineering.
- Big data.
- Internet of things.
- Biomedical Engineering--statistics & numerical data.
- Medical Subjects:
- Biomedical Engineering--statistics & numerical data.
- Physical Description:
- xiv, 303 pages : illustrations (black and white) ; 24 cm
- Place of Publication:
- London ; San Diego, CA : Academic Press, [2020]
- Summary:
- 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.
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Electronic version: HANDBOOK OF DATA SCIENCE APPROACHES FOR BIOMEDICAL ENGINEERING.
- ISBN:
- 9780128183182
- 0128183187
- OCLC:
- 1107334157
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