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Informed Clinical Decision Making using Deep Learning

This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems. The main areas that would explore are: Data mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes. Deep learning in Electronic Health Records: From descriptive analytics to predictive analytics. Explainable deep learning models for healthcare applications: What it is and why it is needed. Clinical Decision Support Systems: Generalisation, bias, ‘fairness’, clinical usefulness and privacy of artificial intelligence algorithms.

Status: Data Ethics
Status: Predictive Modeling
IntermediateSpecialization

Top reviews across Informed Clinical Decision Making using Deep Learning

KD

Reviewed Jul 19, 2023

This is a great learning curve to properly introduce me into data analysis, and machine learning in healthcare data

Learner reviews across Informed Clinical Decision Making using Deep Learning

Showing: 4 of 4

Alberto
Course: Data Mining of Clinical Databases
5.0
Reviewed Dec 31, 2022Course: Data Mining of Clinical Databases
Damilola
Course: Data Mining of Clinical Databases
5.0
Reviewed Aug 3, 2022Course: Data Mining of Clinical Databases
Kayode
Course: Data Mining of Clinical Databases
5.0
Reviewed Jul 20, 2023Course: Data Mining of Clinical Databases
Colin
Course: Data Mining of Clinical Databases
1.0
Reviewed Feb 27, 2025Course: Data Mining of Clinical Databases