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
ofrecido por
EIT Digital
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
Introduction
6 videos (Total 54 minutos), 1 quiz
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 test20m
Semana
21 hora para completar
Challenges in unstructured data in health domain
2 videos (Total 19 minutos), 1 quiz
1 ejercicio de práctica
Challenges in unstructured data in health: evaluation test20m
Semana
31 hora para completar
NLP in medical domain
6 videos (Total 49 minutos), 1 quiz
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 test20m
Semana
41 hora para completar
Medical Image Analysis
4 videos (Total 50 minutos), 1 quiz
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 test20m
Semana
52 horas para completar
Data Analysis of structured information
8 videos (Total 86 minutos), 1 quiz
8 videos
Data mining basics (I)9m
Data mining basics (II)10m
Classification (I)10m
Classification (II)10m
Clustering13m
Association12m
Validation11m
1 ejercicio de práctica
Data analysis: evaluation test20m
Instructores
Alejandro Rodríguez González
ProfessorComputer Languages and Systems and Software Engineering
Consuelo Gonzalo-Martín
Prof.Computer Languages and Systems and Software Engineering
Ernestina Menasalvas
ProfessorCenter of Biomedicine, Universidad Politecnica de Madrid
Acerca de 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.
EIT Digital provides online and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 leading technical universities around Europe. The universities deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master and Doctorate programmes, and for professionals as a way to update their knowledge.
EIT Digital offers an online programme in 'Internet of Things through Embedded Systems'. Achieving all certificates of the online courses and the specialization provides an opportunity to enroll in the on campus program and get a double degree. Please visit https://www.eitdigital.eu/eit-digital-academy/
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