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- Publisher: Academic Press
- ISBN-10: 0128095563
- ISBN-13: 9780128095560
- Format: 19.1 x 23.5 x 1.2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Leveraging Biomedical and Healthcare Data (e-book) (used book) | bookbook.eu
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Description
Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision.
It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Academic Press
- ISBN-10: 0128095563
- ISBN-13: 9780128095560
- Format: 19.1 x 23.5 x 1.2 cm, softcover
- Language: English English
Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision.
It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research.
Reviews