Features of Fundamentals of Clinical Data Science PDF
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modeling 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 modeling 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 PDF
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.
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Description of Fundamentals of Clinical Data Science PDF
Health, anatomy, physiology, biochemistry, medicine, surgery, and nursing textbooks will likely be at your side throughout your medical studies, and you’ll be reading through countless scientific papers, but you might want to read something beforehand that gives you insight into the world of medicine in practice – whether that’s research, at the clinic or in the operating room. The most featured and reviewed on book Fundamentals of Clinical Data Science PDF is available for grabs now here on our website free for students and professionals sole purpose of teaching and education. It has been boasted and proven with thousands of user reviews that it has all the information to make you one of the highly qualified professionals in the world of medicine and its branches. Without a doubt a masterpiece for those who aspire to be doctors or heal those they find in ailment. It is a must read again and again for everyone that can get their hands on this limited edition book. If you are a medical student or are still thinking about it, you will find yourself reading many books like encyclopedia health books. Being a medical student is not easy. Another of the many benefits of reading books is that it reduces stress and anxiety. As a medical student, it is normal for you to feel scared due to being overwhelmed. You’ll be completely focused on the story or advice, which calms you down and makes you happier, especially if you’re reading something happy and moving. When you finish reading, you can be calm enough to look at your problem differently. Every time you read a book, you build some relationship with these characters. Even if you are only different in paper and ink, you are still connected to that character. Sometimes you’re even in their thoughts. This alleviates the feeling of isolation because you feel connected to these characters. It also alleviates feelings of exhaustion and despair when you’re reading something exciting and happy. Download it now.
The Authors
Pieter Kubben is a neurosurgeon, mobile app developer and program manager for eHealth and mHealth for the Maastricht University Medical Center. Telemonitoring and corresponding algorithm development is a particular focus area Dr Kubben is involved in, as well as interactive clinical decision support systems.
Michel Dumontier is a distinguished professor of data science at Maastricht University and head of the Institute for Data Science – connecting data science initiatives and projects from all faculties. He is also deeply involved in the FAIR data approach (Findable, Accessible, Interoperable, Reproducible).
André Dekker is a professor of clinical data science at Maastricht University and has been leading the development of prediction models in radiation therapy for many years. He is also coordinator of the Personal Health Train project, aiming to facilitate “citizen science”.
Dimensions and Characteristics of Fundamentals of Clinical Data Science PDF
- Identification Number : B07FNGDHRR
- Publisher : Springer ; 1st ed. 2019 edition (December 21, 2018)
- Publication date : 21 December 2018
- Language : English
- File size : 10535 KB
- Text to speech : On
- Screen reader: : Supported
- Enhanced Typesetting : Enabled
- X-Ray : Not activated
- Word Wise : Not activated
- Number of pages : 327 pages
- Loan : Not activated
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