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Foundations of mining non-structured medical data
  • Level Foundation
  • المدة 7 ساعات hours
  • الطبع بواسطة EIT Digital
  • Offered by

عن

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.

الوحدات

Introduction of MOOC, professors and their skills

    • 1 Videos
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1 Videos

  • Introduction

Big Data

    • 2 Videos
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2 Videos

  • Big Data (I)
  • Big Data (II)

Importance of medical domain in the European cost context

    • 1 Videos
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1 Videos

  • Importance of medical domain in the European cost context

Big Data in medical domain: opportunities and challenges

    • 1 Videos
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1 Videos

  • Big Data in medical domain: opportunities and challenges

Data generated in the health domain

    • 1 Videos
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1 Videos

  • Data generated in the health domain

Evaluation

    • 1 Assignment
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1 Assignment

  • Introduction: evaluation test

Challenges and problems in biomedical texts

    • 2 Videos
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2 Videos

  • Challenges and problems in biomedical texts
  • Challenges and problems in medical images

Evaluation

    • 1 Assignment
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1 Assignment

  • Challenges in unstructured data in health: evaluation test

Introduction to NLP pipeline and tasks

    • 1 Videos
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1 Videos

  • Introduction to NLP pipeline and tasks

Tools and frameworks: general purpose

    • 1 Videos
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1 Videos

  • Tools and frameworks: general purpose

Tools and frameworks: medical domain

    • 1 Videos
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1 Videos

  • Tools and frameworks: medical domain

Vocabularies and ontologies

    • 2 Videos
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2 Videos

  • Vocabularies and ontologies (I)
  • Vocabularies and ontologies (II)

EHR analysis: structure, content and challenges

    • 1 Videos
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1 Videos

  • EHR analysis: structure, content and challenges

Evaluation

    • 1 Assignment
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1 Assignment

  • NLP in medical domain: evaluation test

Introduction of digital image basic concepts applied to medical image

    • 2 Videos
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2 Videos

  • Introduction of digital image basic concepts applied to medical image (I)
  • Introduction of digital image basic concepts applied to medical image (II)

Structuring image information

    • 1 Videos
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1 Videos

  • Structuring image information

Case of use: Digital pathology. An example for breast cancer histological images

    • 1 Videos
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1 Videos

  • Case of use: Digital pathology. An example for breast cancer histological images

Evaluation

    • 1 Assignment
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1 Assignment

  • Medical image analysis: evaluation test

Data mining problems and techniques

    • 1 Videos
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1 Videos

  • Data mining problems and techniques

Data mining basics

    • 2 Videos
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2 Videos

  • Data mining basics (I)
  • Data mining basics (II)

Classification

    • 2 Videos
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2 Videos

  • Classification (I)
  • Classification (II)

Clustering

    • 1 Videos
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1 Videos

  • Clustering

Association

    • 1 Videos
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1 Videos

  • Association

Validation

    • 1 Videos
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1 Videos

  • Validation

Evaluation

    • 1 Assignment
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1 Assignment

  • Data analysis: evaluation test

Auto Summary

"Foundations of Mining Non-Structured Medical Data" is a foundational course in Data Science & AI, offered by Coursera. It focuses on Big Data in the health domain, exploring how technology can integrate and exploit unstructured medical data. Ideal for beginners, it covers data types, challenges, and analytical opportunities. The course spans 420 minutes and is available with a Starter subscription. Perfect for those in healthcare management, physicians, patients, and caregivers.

Alejandro Rodríguez González
Instructors

Alejandro Rodríguez González

Consuelo Gonzalo-Martín
Instructors

Consuelo Gonzalo-Martín

Ernestina Menasalvas
Instructors

Ernestina Menasalvas