TY - BOOK ID - 49419037 TI - Leveraging biomedical and healthcare data : semantics, analytics and knowledge PY - 2019 SN - 012809561X 0128095563 9780128095614 9780128095560 PB - London : Academic Press, an imprint of Elsevier, DB - UniCat KW - Nervous system KW - Protein-protein interactions. KW - Medical care KW - Degeneration. KW - Data processing. KW - Interactions, Protein-protein KW - Protein interactions KW - Molecular association KW - Degeneration, Nerve KW - Nerve degeneration KW - Nervous system degeneration KW - Neurodegenerative disease KW - Neurodegenerative diseases KW - Neurodegenerative disorders KW - Neuron degeneration KW - Nissl degeneration KW - Retrograde degeneration KW - Wallerian degeneration KW - Degeneration (Pathology) KW - Degeneration and regeneration KW - PPIs (Protein-protein interactions) KW - Interactomes UR - https://www.unicat.be/uniCat?func=search&query=sysid:49419037 AB - 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. ER -