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 forma parte de Programa especializado: AI in Healthcare
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Qué aprenderás
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
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Programa - Qué aprenderás en 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
Reseñas
- 5 stars70,76 %
- 4 stars24,10 %
- 3 stars3,58 %
- 2 stars1,53 %
Principales reseñas sobre INTRODUCTION TO CLINICAL DATA
Course was generally good -- final assessment questions were not always carefully worded nor proofread.
Was helpful and informational - a non-healthcare technologist looking into healthcare data management
Great introduction to Clinical Data Characteristics
Course is very good. It would be more beneficial if more AI persepective will add.
Acerca de Programa especializado: AI in Healthcare

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