A Simple Clinical Keyword Classification and Nomenclature for Diseases and Surgical Operations, Suitable for the Use of Hospitals, General Practitioners, Internists, Surgeons and Specialists PDF Download
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Author: William H. Mercur
Publisher:
ISBN:
Category : Indexing
Languages : en
Pages : 192
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Book Description
Author: William H. Mercur
Publisher:
ISBN:
Category : Indexing
Languages : en
Pages : 192
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Book Description
Author:
Publisher:
ISBN:
Category : Clinical medicine
Languages : en
Pages : 1068
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Book Description
Author: Brian Freeman
Publisher: McGraw Hill Professional
ISBN: 0071457135
Category : Medical
Languages : en
Pages : 493
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Book Description
The first medical specialty selection guide written by residents for students! Provides an inside look at the issues surrounding medical specialty selection, blending first-hand knowledge with useful facts and statistics, such as salary information, employment data, and match statistics. Focuses on all the major specialties and features firsthand portrayals of each by current residents. Also includes a guide to personality characteristics that are predominate with practitioners of each specialty. “A terrific mixture of objective information as well as factual data make this book an easy, informative, and interesting read.” --Review from a 4th year Medical Student
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages :
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author: David Leaper
Publisher: Oxford University Press
ISBN: 0199546266
Category : Medical
Languages : en
Pages : 500
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Book Description
A general handbook covering post-surgical complications across all specialties. Particularly relevant for junior doctors and those preparing for their membership of the Royal College of Surgery (MRCS) exams.
Author: George Rosen
Publisher: JHU Press
ISBN: 1421416018
Category : Medical
Languages : en
Pages : 441
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Book Description
For seasoned professionals as well as students, A History of Public Health is visionary and essential reading.
Author:
Publisher:
ISBN:
Category : Death
Languages : en
Pages : 44
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Book Description
Author:
Publisher:
ISBN:
Category : Health
Languages : en
Pages : 722
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Book Description
Author: Pieter Kubben
Publisher: Springer
ISBN: 3319997130
Category : Medical
Languages : en
Pages : 219
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Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
