Welcome to Clinical Data Models and Data Quality Assessments - Introduction: Clinical Data Models and Common Data Models | Coursera

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Clinical Data Models and Data Quality Assessments

콜로라도 대학교

4.3(51개의 평가) | 4.1,000명의 학생이 등록함

Clinical Data Science 특화 과정에서 6의 강좌 2

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This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.

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4.3(51개의 평가)

5 stars
50.98%
4 stars
31.37%
3 stars
13.72%
1 star
3.92%

MK

2019년 11월 4일

What a great course!! Kudos to the professor for being so detail oriented!! I learned a great deal about the clinical data models from this course!!

VT

2019년 9월 13일

Good instructor who took time to explain and walked through each steps of the ETL process. Highly recommended.

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Introduction: Clinical Data Models and Common Data Models

This week describes clinical data models and explains the need for and use of common data models in national and international data networks. We will also cover the features of Entity-Relationship Diagrams (ERDs) to describe the key technical features of data models.

Welcome to Clinical Data Models and Data Quality Assessments2:04

강사:

Laura K. Wiley, PhD
Assistant Professor
Michael G. Kahn, MD, PhD
Professor of Clinical Informatics

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