Foundations of mining non-structured medical data

ofrecido por

EIT Digital

Acerca de este Curso

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.

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. 14 horas para completar

Sugerido: 8 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

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. 14 horas para completar

Sugerido: 8 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana

1 hora para completar

Introduction

...

6 videos (Total 54 minutos), 1 quiz

6 videos

Introduction4m

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

1 hora para completar

Challenges in unstructured data in health domain

...

2 videos (Total 19 minutos), 1 quiz

2 videos

Challenges and problems in biomedical texts9m

Challenges and problems in medical images9m

1 ejercicio de práctica

Challenges in unstructured data in health: evaluation test20m

Semana

1 hora para completar

NLP in medical domain

...

6 videos (Total 49 minutos), 1 quiz

6 videos

Introduction to NLP pipeline and tasks6m

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

1 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 (I)11m

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

Instructores

Alejandro Rodríguez González

Professor

Computer Languages and Systems and Software Engineering

Consuelo Gonzalo-Martín

Prof.

Computer Languages and Systems and Software Engineering

Ernestina Menasalvas

Professor

Center 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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