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Foundations of mining non-structured medical data
Coursera MOOC / Non-credit 0

Foundations of mining non-structured medical data

About this course

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 28Digital.

B

75/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • understanding the types of unstructured medical data
  • recognizing the challenges of mining unstructured data
  • exploring the applications of analytics in healthcare
  • gaining an overview of data analytics methods

Course objectives

  • to provide a foundational understanding of big data in healthcare
  • to identify opportunities in the analysis of unstructured medical data
  • to introduce the technological aspects of data integration
Data Analysis Health Informatics #big data #data mining #data integration #health informatics #unstructured data #healthcare analytics #text analysis #data challenges #image analysis #european healthcare
$49.00

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