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.
Acerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Instructores
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por

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.
Programa - Qué aprenderás en este curso
1 hora para completar
Introduction
1 hora para completar
6 videos (Total 54 minutos)
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 ejercicio de práctica
Introduction: evaluation test30m
1 hora para completar
Challenges in unstructured data in health domain
1 hora para completar
2 videos (Total 19 minutos)
1 ejercicio de práctica
Challenges in unstructured data in health: evaluation test30m
1 hora para completar
NLP in medical domain
1 hora para completar
6 videos (Total 49 minutos)
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 ejercicio de práctica
NLP in medical domain: evaluation test30m
1 hora para completar
Medical Image Analysis
1 hora para completar
4 videos (Total 50 minutos)
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 ejercicio de práctica
Medical image analysis: evaluation test30m
Reseñas
Principales reseñas sobre FOUNDATIONS OF MINING NON-STRUCTURED MEDICAL DATA
por DH30 de ene. de 2019
Fascinating information- really improved my knowledge of the tools that are available in the clinical data space.
por MM3 de ene. de 2019
Good course of initial and high level understanding of basic concepts
Preguntas Frecuentes
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Is financial aid available?
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