Search results for "Health Analytics with Python"
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Health Informatics: Practical Guide for Healthcare and Information Technology Professionals (Sixth Edition)
Health Informatics (HI) focuses on the application of information technology (IT) in healthcare to improve individual and population health, education and research. The goal of the textbook is to stimulate and educate healthcare and IT professionals and students about the key topics in this rapidly changing field. This extensively updated sixth edition reflects the changes in technology, policies and innovations that have occurred recently. Topics include HI overview, electronic health records, healthcare data analytics, health information exchange, architecture of information systems, evidence based medicine, consumer health informatics, HI ethics, quality improvement strategies and more. The 22 chapters feature learning objectives, case studies, recommended reading, future trends, key points, conclusions and over 1800 references. It is available as a paperback and an eBook. Free Online Resources are available on the textbook companion website www.informaticseducation.org
R 2,639.63
Essentials of Statistics with SPSS
This workbook is designed to provide a good grounding of the most commonly used analytic approaches in the health sciences, using the Statistical Package for the Social Sciences (SPSS). Topics covered include creation of a database, aggregation of data, data transformations, scale development, t-tests, cross tabulations, ANOVA, logistic regression, correlation and regression. Notes and slides are included in each Chapter that describe the essentials of each analytic approach. As well, data from the Canadian Community Health Survey are analyzed to illustrate the application of each approach. SPSS output is included, with the most important elements for a research paper highlighted and interpreted.
R 992.89
Health Informatics Sixth Edition Supplement: Practical Guide for Healthcare and Information Technology Professionals
Health Informatics: Practical Guide for Health and Information Technology Professionals Sixth Edition Supplement adds 3 new chapters. The supplement has learning objectives, case studies, recommended reading, future trends, key points, and references. Introduction to Data Science, provides a comprehensive overview with topics including databases, machine learning, big data and predictive analytics. Clinical Decision Support (CDS), covers current and salient aspects of CDS functionality, implementation, benefits, challenges and lessons learned. International Health Informatics, highlights the informatics initiatives of developed and developing countries on each continent. Available as a paperback and eBook. For more information about the textbook, visit www.informaticseducation.org. For instructors, an Instructor Manual, PDF version and PowerPoint slides are available under the Instructor's tab.
R 751.06
Scientific Scripting with Python
Learn how to automate your scientific research with Python. This book teaches you the basics of the popular Python scripting language, before delving deep into all aspects of processing data. Python is a simple, yet powerful, programming language similar to Perl, Tcl, and Ruby. It is heavily used in scientific research, and by companies like Google. This book places a strong emphasis on practical techniques for handling data. Although targeted specifically at scientists and engineers, anyone who needs to automate their work flow would find it useful.
R 1,215.56
R 611.00
R 397.00
