À propos de ce cours : 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.
Créé par : EIT Digital
Enseigné par : Alejandro Rodríguez González, Professor
Computer Languages and Systems and Software EngineeringEnseigné par : Consuelo Gonzalo-Martín, Prof.
Computer Languages and Systems and Software EngineeringEnseigné par : Ernestina Menasalvas, Professor
Center of Biomedicine, Universidad Politecnica de Madrid
| Niveau | Débutant |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
Programme de cours
SEMAINE 1
Introduction
6 vidéos
- Vidéo: Big Data (I)
- Vidéo: Big Data (II)
- Vidéo: Importance of medical domain in the European cost context
- Vidéo: Big Data in medical domain: opportunities and challenges
- Vidéo: Data generated in the health domain
Noté: Introduction: evaluation test
SEMAINE 2
Challenges in unstructured data in health domain
2 vidéos
- Vidéo: Challenges and problems in medical images
Noté: Challenges in unstructured data in health: evaluation test
SEMAINE 3
NLP in medical domain
6 vidéos
- Vidéo: Tools and frameworks: general purpose
- Vidéo: Tools and frameworks: medical domain
- Vidéo: Vocabularies and ontologies (I)
- Vidéo: Vocabularies and ontologies (II)
- Vidéo: EHR analysis: structure, content and challenges
Noté: NLP in medical domain: evaluation test
SEMAINE 4
Medical Image Analysis
4 vidéos
- Vidéo: Introduction of digital image basic concepts applied to medical image (II)
- Vidéo: Structuring image information
- Vidéo: Case of use: Digital pathology. An example for breast cancer histological images
Noté: Medical image analysis: evaluation test
SEMAINE 5
Data Analysis of structured information
8 vidéos
- Vidéo: Data mining basics (I)
- Vidéo: Data mining basics (II)
- Vidéo: Classification (I)
- Vidéo: Classification (II)
- Vidéo: Clustering
- Vidéo: Association
- Vidéo: Validation
Noté: Data analysis: evaluation test
FAQ
Comment cela fonctionne
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
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Créateurs
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:
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
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