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Foundations of mining non-structured medical data

Foundations of mining non-structured medical data

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8.6/10 (Our Score)
Product is rated as #19 in category Big Data

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.

Instructor Details

Alejandro started his career in 2008 when he moved from the lovely Oviedo, Asturias, to Madrid with the idea of just “work one year in the university while doing the master”. The reality finally is that research really captivated him and he made research his “style of life”, making him stay in Madrid until now. Several times he feared that this this was a bad decision.. being involved in science nowadays is something hard, bad paid, and unstable. But.. there is no turning back! Alejandro is now a professor in the Computer Languages and Systems and Software Engineering at the Technical University of Madrid in Spain.

Specification: Foundations of mining non-structured medical data

Duration

13 hours

Year

2019

Level

Beginner

Certificate

Yes

Quizzes

Yes

4 reviews for Foundations of mining non-structured medical data

4.3 out of 5
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  1. Manish

    Good course of initial and high level understanding of basic concepts

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  2. David L H

    Fascinating information– really improved my knowledge of the tools that are available in the clinical data space.

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  3. Novi A

    Language barrier.

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  4. Jenny

    great introduction to data mining. I have been looking for a course that does not require too much background for quite some time and this one was just the right degree of complexity. I now feel confident that I have a solid foundation to build on.

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    Foundations of mining non-structured medical data
    Foundations of mining non-structured medical data

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