Learner Reviews & Feedback for Data mining of Clinical Databases - CDSS 1 by University of Glasgow
About the Course
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.
Top reviews
DA
Aug 2, 2022
This course is highly informative and practical-oriented. It has increased my desire in the clinical data analytics field
KD
Jul 19, 2023
This is a great learning curve to properly introduce me into data analysis, and machine learning in healthcare data
1 - 4 of 4 Reviews for Data mining of Clinical Databases - CDSS 1
By Alberto V Q
•Dec 31, 2022
The content and syllabus are great. The difficulty for most of the course is low but it ramps up drastically at the end of week 4 where I had to refer to the implementation given by the instructor as my SQL skills were not good enough. You can finish this first course without having access to the complete MIMIC-III database, and you can use the demo for all the exercises, however, it took me a weekend to complete the training and process for requesting access so if you are new to clinical databases consider an extra week of work for the MIMIC-III process. It is a very academic field so there is a lot to read and study but it is accessible enough for a layman engineer like me.
By Damilola A
•Aug 3, 2022
This course is highly informative and practical-oriented. It has increased my desire in the clinical data analytics field
By Kayode D
•Jul 20, 2023
This is a great learning curve to properly introduce me into data analysis, and machine learning in healthcare data
By Colin H
•Feb 27, 2025
Requires you to pay for another course to access the data