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.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- المدة
- الطبع بواسطة University of Glasgow
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عن
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.Auto Summary
Enhance your programming skills with "Informed Clinical Decision Making using Deep Learning," designed for professionals aiming to apply deep learning to Electronic Health Records. Learn data mining, predictive analytics, and explainable models, focusing on ethical and practical aspects of Clinical Decision Support Systems. Offered by Coursera, choose from Starter or Professional subscription options. Ideal for experienced programmers in healthcare.
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