Deep learning in Electronic Health Records - CDSS 2

Indian Institute of Technology Guwahati via Coursera

Overview

Unlock the power of deep learning for healthcare with our dynamic course on "Deep Learning in Electronic Health Records - CDSS" provided by Coursera and hosted by the prestigious Indian Institute of Technology Guwahati. This course delves into the core principles of deep learning, featuring an in-depth examination of its most prevalent architectures.

Participants will learn how to craft models for time-series classification, with a specific focus on vital signals like ECG, and how to adeptly apply these models within the challenging environment of Electronic Health Records (EHR). EHRs are notorious for their missing values and the complex heterogeneity encompassing continuous, ordinal, and categorical variables. Through this course, explore innovative imputation methods and varied encoding strategies designed to overcome these hurdles.

Furthermore, this comprehensive training will guide you through the formulation of clinical prediction benchmarks utilizing data from the MIMIC-III database, setting a new standard in healthcare analytics. Ideal for individuals keen on deep learning courses or aiming to specialize in healthcare informatics, this course is your gateway to advancing in this cutting-edge field.