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Network Medicine

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Release : 2017-02-01
Genre : Medical
Kind : eBook
Book Rating : 539/5 ( reviews)

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Book Synopsis Network Medicine by : Joseph Loscalzo

Download or read book Network Medicine written by Joseph Loscalzo. This book was released on 2017-02-01. Available in PDF, EPUB and Kindle. Book excerpt: Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.

Analyzing Network Data in Biology and Medicine

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Release : 2019-03-28
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 239/5 ( reviews)

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Book Synopsis Analyzing Network Data in Biology and Medicine by : Nataša Pržulj

Download or read book Analyzing Network Data in Biology and Medicine written by Nataša Pržulj. This book was released on 2019-03-28. Available in PDF, EPUB and Kindle. Book excerpt: Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Toward Precision Medicine

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Release : 2012-01-16
Genre : Medical
Kind : eBook
Book Rating : 222/5 ( reviews)

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Book Synopsis Toward Precision Medicine by : National Research Council

Download or read book Toward Precision Medicine written by National Research Council. This book was released on 2012-01-16. Available in PDF, EPUB and Kindle. Book excerpt: Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.

Clinical Practice Guidelines We Can Trust

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Release : 2011-06-16
Genre : Medical
Kind : eBook
Book Rating : 46X/5 ( reviews)

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Book Synopsis Clinical Practice Guidelines We Can Trust by : Institute of Medicine

Download or read book Clinical Practice Guidelines We Can Trust written by Institute of Medicine. This book was released on 2011-06-16. Available in PDF, EPUB and Kindle. Book excerpt: Advances in medical, biomedical and health services research have reduced the level of uncertainty in clinical practice. Clinical practice guidelines (CPGs) complement this progress by establishing standards of care backed by strong scientific evidence. CPGs are statements that include recommendations intended to optimize patient care. These statements are informed by a systematic review of evidence and an assessment of the benefits and costs of alternative care options. Clinical Practice Guidelines We Can Trust examines the current state of clinical practice guidelines and how they can be improved to enhance healthcare quality and patient outcomes. Clinical practice guidelines now are ubiquitous in our healthcare system. The Guidelines International Network (GIN) database currently lists more than 3,700 guidelines from 39 countries. Developing guidelines presents a number of challenges including lack of transparent methodological practices, difficulty reconciling conflicting guidelines, and conflicts of interest. Clinical Practice Guidelines We Can Trust explores questions surrounding the quality of CPG development processes and the establishment of standards. It proposes eight standards for developing trustworthy clinical practice guidelines emphasizing transparency; management of conflict of interest ; systematic review-guideline development intersection; establishing evidence foundations for and rating strength of guideline recommendations; articulation of recommendations; external review; and updating. Clinical Practice Guidelines We Can Trust shows how clinical practice guidelines can enhance clinician and patient decision-making by translating complex scientific research findings into recommendations for clinical practice that are relevant to the individual patient encounter, instead of implementing a one size fits all approach to patient care. This book contains information directly related to the work of the Agency for Healthcare Research and Quality (AHRQ), as well as various Congressional staff and policymakers. It is a vital resource for medical specialty societies, disease advocacy groups, health professionals, private and international organizations that develop or use clinical practice guidelines, consumers, clinicians, and payers.

Computational Network Analysis with R

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Release : 2016-12-12
Genre : Medical
Kind : eBook
Book Rating : 582/5 ( reviews)

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Book Synopsis Computational Network Analysis with R by : Matthias Dehmer

Download or read book Computational Network Analysis with R written by Matthias Dehmer. This book was released on 2016-12-12. Available in PDF, EPUB and Kindle. Book excerpt: This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

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