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
oferecido por
Foundations of mining non-structured medical data
EIT Digital
Programa - O que você aprenderá com este curso
Semana
1Introduction
6 vídeos (Total de 54 min), 1 teste
6 videos
Introduction4min
Big Data (I)8min
Big Data (II)7min
Importance of medical domain in the European cost context9min
Big Data in medical domain: opportunities and challenges13min
Data generated in the health domain9min
1 exercício prático
Introduction: evaluation test20min
Semana
2Challenges in unstructured data in health domain
2 vídeos (Total de 19 min), 1 teste
2 videos
Challenges and problems in medical images9min
1 exercício prático
Challenges in unstructured data in health: evaluation test20min
Semana
3NLP in medical domain
6 vídeos (Total de 49 min), 1 teste
6 videos
Tools and frameworks: general purpose6min
Tools and frameworks: medical domain5min
Vocabularies and ontologies (I)10min
Vocabularies and ontologies (II)8min
EHR analysis: structure, content and challenges11min
1 exercício prático
NLP in medical domain: evaluation test20min
Semana
4Medical Image Analysis
4 vídeos (Total de 50 min), 1 teste
4 videos
Introduction of digital image basic concepts applied to medical image (II)15min
Structuring image information10min
Case of use: Digital pathology. An example for breast cancer histological images12min
1 exercício prático
Medical image analysis: evaluation test20min
Instrutores
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
Sobre EIT Digital
EIT Digital is a pan-European education and research-based open innovation organization founded on excellence. Its 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 "blended" Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 reputable universities of technology around Europe. The universities all together 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. These are the courses in the online programme:
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