This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics. The schema and International Classification of Diseases coding is important to understand how to map research questions to data and how to extract key clinical outcomes in order to develop clinically useful machine learning algorithms.
Welcome to Informed Clinical Decision Making Specialisation
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Skills You'll Learn
Descriptive Statistics, Electronic Health Records, Ethics in EHR, mining clinical databases, International Classification of Diseases
Reviews
4.6 (14 ratings)
- 5 stars85.71%
- 3 stars7.14%
- 1 star7.14%
DA
Aug 3, 2022
This course is highly informative and practical-oriented. It has increased my desire in the clinical data analytics field
KD
Jul 20, 2023
This is a great learning curve to properly introduce me into data analysis, and machine learning in healthcare data
From the lesson
Electronic Health Records and Public Databases
Taught By
Fani Deligianni
Dr