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EIT Digital

Foundations of mining non-structured medical data

EIT Digital via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
Rare course alert! This course is very specific and very will give you the edge you need in your career! Learn all about 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 caregivers, etc.

The course offers 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.

Take the next step in your career and get closer to working with big data, AI and structured analytics.
Ideate. Innovate and Iterate with EIT Digital.

Syllabus

  • Introduction
  • Challenges in unstructured data in health domain
  • NLP in medical domain
  • Medical Image Analysis
  • Data Analysis of structured information

Taught by

Alejandro Rodríguez González, Consuelo Gonzalo-Martín and Ernestina Menasalvas

Reviews

1.0 rating, based on 1 Class Central review

3.8 rating at Coursera based on 24 ratings

Start your review of Foundations of mining non-structured medical data

  • Anonymous
    its a 5 to 6 hours course, can be done in a day,
    why are you labeling it as 5 weeks I don't know,
    the price is 49 USD far too much.
    I may pay 9.99 USD maximum with printed certificate.
    otherwise not acceptable

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