Logic and Critical Thinking in the Biomedical Sciences: Volume I: Deductions Based Upon Simple Observations

Author:   Jules J. Berman (Author with expertise in informatics, computer programming, and cancer biology)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128213643


Pages:   306
Publication Date:   24 July 2020
Format:   Paperback
Availability:   Not yet available   Availability explained
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Logic and Critical Thinking in the Biomedical Sciences: Volume I: Deductions Based Upon Simple Observations


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Overview

Logic and Critical Thinking in the Biomedical Sciences: Volume One: Deductions Based upon Simple Observations provides biomedical students and scientists with a repertoire of deductive non-mathematical methods that helps them draw useful inferences from data. The book invites readers to linger over a collection of common observations to see what inferences can be drawn when deductive logic is applied. It demonstrates that if we just think about what we observe, it is possible to discover profound biomedical insights. This book is a valuable source for the biomedical field, helping them make sense of the medical data currently available.

Full Product Details

Author:   Jules J. Berman (Author with expertise in informatics, computer programming, and cancer biology)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
ISBN:  

9780128213643


ISBN 10:   0128213647
Pages:   306
Publication Date:   24 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Drawing inferences from gross photography 2. Drawing inferences from microphotography 3. Inferences drawn from anatomy 4. Inferences drawn from the early steps of a temporal sequence 5. Finding relationships among biological entities 6. Drawing Inferences from classifications and ontologies 7. Discoveries made by reducing class noise 8. We should have known better: How a little thought could have corrected long-held misbeliefs

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Author Information

Jules J. Berman received two baccalaureate degrees from MIT; in Mathematics, and in Earth and Planetary Sciences. He holds a PhD from Temple University, and an MD, from the University of Miami. He was a graduate student researcher in the Fels Cancer Research Institute, at Temple University, and at the American Health Foundation in Valhalla, New York. His postdoctoral studies were completed at the US National Institutes of Health, and his residency was completed at the George Washington University Medical Center in Washington, DC. Dr. Berman served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, where he held joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. In 1998, he transferred to the US National Institutes of Health, as a Medical Officer, and as the Program Director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Dr. Berman is a past president of the Association for Pathology Informatics, and the 2011 recipient of the Association's Lifetime Achievement Award. He has first-authored more than 100 journal articles and has written 18 science books. His most recent titles, published by Elsevier, include: -Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, 1st edition (2012) -Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information (2013) -Rare Diseases and Orphan Drugs: Keys to Understanding and Treating the Common Diseases (2014) -Repurposing Legacy Data: Innovative Case Studies (2015) -Data Simplification: Taming Information with Open Source Tools (2016) -Precision Medicine and the Reinvention of Human Disease (2018) -Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition (2018) -Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, 2nd edition (2019)

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