Foundations of mining non-structured medical data

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Free Online Course: Foundations of mining non-structured medical data provided by Coursera is a comprehensive online course, which lasts for 5 weeks long, 6-7 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Foundations of mining non-structured medical data is taught by Alejandro Rodríguez González, Consuelo Gonzalo-Martín and Ernestina Menasalvas.

Overview
  • 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 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.

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