The goal of this course is to understand the foundations of Big Data and the data that is being generated in the health domain and how the use of technology would help to integrate and exploit all those data to extract meaningful information that can be later used in different sectors of the health domain from physicians to management, from patients to care givers, etc. The course will offer to the student a high-level perspective of the importance of the medical context within the European context, the types of data that are managed in the health (clinical) context, the challenges to be addressed in the mining of unstructured medical data (text and image) as well as the opportunities from the analytical point of view with an introduction to the basics of data analytics field.
Offered By
Foundations of mining non-structured medical data
EIT DigitalAbout this Course
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Shareable Certificate
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Beginner Level
Approx. 7 hours to complete
English
Subtitles: English
Instructors
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 7 hours to complete
English
Subtitles: English
Offered by
EIT Digital
EIT Digital is a European education and innovation organisation with a mission to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research and business, EIT Digital empowers digital top talents for the future.
Syllabus - What you will learn from this course
1 hour to complete
Introduction
1 hour to complete
6 videos (Total 54 min)
1 hour to complete
Challenges in unstructured data in health domain
1 hour to complete
2 videos (Total 19 min)
1 hour to complete
NLP in medical domain
1 hour to complete
6 videos (Total 49 min)
1 hour to complete
Medical Image Analysis
1 hour to complete
4 videos (Total 50 min)
Reviews
TOP REVIEWS FROM FOUNDATIONS OF MINING NON-STRUCTURED MEDICAL DATA
by DHJan 30, 2019
Fascinating information- really improved my knowledge of the tools that are available in the clinical data space.
by MMJan 3, 2019
Good course of initial and high level understanding of basic concepts
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