Fundamentals of Clinical Data Science by Pieter Kubben (Editor); Michel Dumontier (Editor); Andre Dekker (Editor)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.
ISBN: 9783319997124
Publication Date: 2019-01-07
Mastering Scientific and Medical Writing by Silvia M. RogersExercises invite the reader to practice the most important aspects of scientific writing. Although the book addresses certain issues more troublesome to scientific communicators of a non-English language origin, the guide will be of equal benefit to those whose first language is English.
Strategic Scientific and Medical Writing by Pieter H. Joubert; Silvia M. RogersIt describes clearly and concisely how to identify the target audience and the desired outcome, and how to construct key messages for a wide spectrum of documents. Irrespective of your level of expertise and your seniority in the pharmaceutical, regulatory, or academic environment, this book is an essential addition to your supporting library.
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