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

Курс от 28DIGITAL
Начальный≈ 6.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Natural Language ProcessingBig DataData MiningImage AnalysisText MiningUnstructured DataMedical ImagingInteroperabilityAnalyticsHealth Information ManagementHealth InformaticsMedical TerminologyHealth CareInnovationClassification Algorithms

Программа курса

5 модулей · 31 учебных материалов

01Introduction7 материалов

Introduction of MOOC, professors and their skills

IntroductionВидео

Big Data

Big Data (I)ВидеоBig Data (II)Видео

Importance of medical domain in the European cost context

Importance of medical domain in the European cost contextВидео

Big Data in medical domain: opportunities and challenges

Учитесь у экспертов

Alejandro Rodríguez González

Professor

Consuelo Gonzalo-Martín

Prof.

Ernestina Menasalvas

Professor

Foundations of mining non-structured medical data
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Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 6.8 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
Big Data in medical domain: opportunities and challengesВидео

Data generated in the health domain

Data generated in the health domainВидео

Evaluation

Introduction: evaluation testЗадание
02Challenges in unstructured data in health domain3 материалов

Challenges and problems in biomedical texts

Challenges and problems in biomedical textsВидеоChallenges and problems in medical imagesВидео

Evaluation

Challenges in unstructured data in health: evaluation testЗадание
03NLP in medical domain7 материалов

Introduction to NLP pipeline and tasks

Introduction to NLP pipeline and tasksВидео

Tools and frameworks: general purpose

Tools and frameworks: general purposeВидео

Tools and frameworks: medical domain

Tools and frameworks: medical domainВидео

Vocabularies and ontologies

Vocabularies and ontologies (I)ВидеоVocabularies and ontologies (II)Видео

EHR analysis: structure, content and challenges

EHR analysis: structure, content and challengesВидео

Evaluation

NLP in medical domain: evaluation testЗадание
04Medical Image Analysis5 материалов

Introduction of digital image basic concepts applied to medical image

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

Structuring image information

Structuring image informationВидео

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

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

Evaluation

Medical image analysis: evaluation testЗадание
05Data Analysis of structured information9 материалов

Data mining problems and techniques

Data mining problems and techniquesВидео

Data mining basics

Data mining basics (I)ВидеоData mining basics (II)Видео

Classification

Classification (I)ВидеоClassification (II)Видео

Clustering

ClusteringВидео

Association

AssociationВидео

Validation

ValidationВидео

Evaluation

Data analysis: evaluation testЗадание