Academic Press Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge

Product 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. Review An overview of the approaches used in semantic systems biology that included step-wise protocols for transforming heterogeneous data into useful knowledge About the Author Dr. Firas Kobeissy obtained his PhD from the University of Florida in the area of Neuroscience. His post doc at the Department of Psychiatry focused on neuroproteomics studies of brain injury as well as drug abuse neurotoxicity. His current research is in the area of biochemistry and neuroscience focusing on identifying biomarkers of traumatic brain injury neuroproteomics. Dr. Kobeissy is the author of more than 75 articles, reviews and book chapters along with two patents. He is a member of the Center of Neuroproteomics and Biomarker Research (CNBR) at the McKnight Brain Institute at the University of Florida. He is the editor of three books (Humana Press and Taylor and Francis); the books deal with biomarker identification and proteomics research. Dr. Kobeissy has published extensively in the areas of systems biology pertaining to the areas of deciphering biomarker and pathways of pathogenesis in brain studies obtained from high throughput proteomics data.Dr. Kevin Wang is internationally recognized for his original contributions to the fields of traumatic brain injury (TBI)-linked proteolytic enzymes, therapeutic targets, neuroproteomics/systems biology, biomarker discovery and validation. Dr. Wang has published in the areas of systems biology/bioinformatics of biomarkers identification in with the main application on neural injury. In his quest for brain injury therapeutics, his omics/systems biology work has led to the identification of clinical diagnostic utility for two brain injury protein biomarkers during the acute phase of brain injury which have now been confirmed tested in clinical samples and are now moving forward to FDA-approval seeking pivotal clinical study. His current research directions include studying mechanisms for CNS injury, neuroproteomics, systems biology, and substance abuse-induced brain perturbation using systems biology approach. He has published more than 200 peer-reviewed papers, reviews and book chapters and co-authored eight US patents and co-edited four books. Dr. Wang is also past President (2011-12) and current Councilor (2013 - present) of the National Neurotrauma Society (USA).Dr. Fadi Zaraket obtained his PhD in the ECE from UT Austin. Dr. Zaraket worked in the industry for a dozen years at IBM, Sun Microsystems, and Santa Cruz Operations. His current research spans the (1) automated correctness and (2) information extraction areas. He teaches programming and computer engineering courses. His current research involves extracting entities and relational associations from related text documents, aggregating the extracted entities into graph entities using cross-document analysis techniques, and analyzing the graph entities for domain specific insight. The application of this approach to medical publications in the area of brain diseases with focus on stroke, b