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.
Foundations of mining non-structured medical data
EIT DigitalAbout this Course
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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 pan-European organization whose mission is 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)
6 videos
Big Data (I)8m
Big Data (II)7m
Importance of medical domain in the European cost context9m
Big Data in medical domain: opportunities and challenges13m
Data generated in the health domain9m
1 practice exercise
Introduction: evaluation test30m
1 hour to complete
Challenges in unstructured data in health domain
1 hour to complete
2 videos (Total 19 min)
1 practice exercise
Challenges in unstructured data in health: evaluation test30m
1 hour to complete
NLP in medical domain
1 hour to complete
6 videos (Total 49 min)
6 videos
Tools and frameworks: general purpose6m
Tools and frameworks: medical domain5m
Vocabularies and ontologies (I)10m
Vocabularies and ontologies (II)8m
EHR analysis: structure, content and challenges11m
1 practice exercise
NLP in medical domain: evaluation test30m
1 hour to complete
Medical Image Analysis
1 hour to complete
4 videos (Total 50 min)
4 videos
Introduction of digital image basic concepts applied to medical image (II)15m
Structuring image information10m
Case of use: Digital pathology. An example for breast cancer histological images12m
1 practice exercise
Medical image analysis: evaluation test30m
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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