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Data mining of Clinical Databases - CDSS 1
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.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 - 5 Hours Per week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $49 |
| From | University of Glasgow via Coursera |
| Instructor | Fani Deligianni |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science Programming |
| Tags | Life Sciences Data Science Machine Learning Health Informatics |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 - 5 Hours Per week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $49 |
| From | University of Glasgow via Coursera |
| Instructor | Fani Deligianni |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science Programming |
| Tags | Life Sciences Data Science Machine Learning Health Informatics |
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