This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care.
Este curso faz parte do Programa de cursos integrados AI in Healthcare
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Informações sobre o curso
O que você vai aprender
How to apply a framework for medical data mining
Ethical use of data in healthcare decisions
How to make use of data that may be inaccurate in systematic ways
What makes a good research question and how to construct a data mining workflow answer it
oferecido por
Programa - O que você aprenderá com este curso
Asking and answering questions via clinical data mining
Data available from Healthcare systems
Representing time, and timing of events, for clinical data mining
Creating analysis ready datasets from patient timelines
Avaliações
- 5 stars70,76%
- 4 stars24,10%
- 3 stars3,58%
- 2 stars1,53%
Principais avaliações do INTRODUCTION TO CLINICAL DATA
Was helpful and informational - a non-healthcare technologist looking into healthcare data management
Great learning on uses of AI in healthcare and how to deal with ethical concerns
Excellent overview supported by good frameworks for understanding concepts.
The course program is very intuitive and challenging. Overall, it is a very good course and I will recommend it to anyone interested in understanding clinical data, in particular for data scientists.
Sobre Programa de cursos integrados AI in Healthcare

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Is this activity accredited for Continuing Medical Education (CME)?
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