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Overview
What you will study
Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health benefit (failure due to lack of clinical utility). The Data Science in Clinical Practice course offered by Elevate Academy focuses on the latter.
Programme Structure
The program focuses on:
- Prognostication and machine learning
- Field usability and feasibility analyses
- Early clinical evaluation
- Causal inference
- Limitations of traditional RCTs and alternative designs for clinical evaluations
- Critical considerations of front-end-development
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Health Sciences Data Science & Big Data View 11 other Short Courses in Health Sciences in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Aimed at healthcare professionals
Tuition Fee
To always see correct tuition fees
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International
79 EUR/fullTuition FeeBased on the tuition of 79 EUR for the full programme during 1 days. -
National
79 EUR/fullTuition FeeBased on the tuition of 79 EUR for the full programme during 1 days.
Funding
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