322,91 €
358,79 €
-10% with code: EXTRA
Data Analytics in Biomedical Engineering and Healthcare
322,91 € 
- We will send in 10–14 business days.
Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health…
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- Publisher: Academic Press
- ISBN-10: 012819314X
- ISBN-13: 9780128193143
- Format: 19.1 x 23.5 x 1.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Data Analytics in Biomedical Engineering and Healthcare (e-book) (used book) | bookbook.eu
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.EXTRA 10 % discount with code: EXTRA
322,91 €
358,79 €
We will send in 10–14 business days.
The promotion ends in 20d.14:51:35
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Academic Press
- ISBN-10: 012819314X
- ISBN-13: 9780128193143
- Format: 19.1 x 23.5 x 1.6 cm, softcover
- Language: English English
Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.
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