Coursera
Coursera Logo

University of Glasgow - Deep learning in Electronic Health Records - CDSS 2 

  • Offered byCoursera

Deep learning in Electronic Health Records - CDSS 2
 at 
Coursera 
Overview

Duration

39 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Deep learning in Electronic Health Records - CDSS 2
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion from University of Glasgow
Details Icon

Deep learning in Electronic Health Records - CDSS 2
 at 
Coursera 
Course details

More about this course
  • Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR, which include both continuous, ordinal and categorical variables
  • Subsequently, explore imputation techniques and different encoding strategies to address these issues
  • Apply these approaches to formulate clinical prediction benchmarks derived from information available in MIMIC-III database

Deep learning in Electronic Health Records - CDSS 2
 at 
Coursera 
Curriculum

Artificial Intelligence and Multi-Layer Perceptron

Welcome Video - Deep Learning in Electronic Health Records

Deep Learning and Artificial Intelligence

Multi-Layer Perceptron

Training a Multi-Layer Perceptron

Optimization of a Multi-Layer Perceptron (Part 1)

Optimization of a Mutli-Layer Perceptrion (Part 2)

Preprocessing of ECG Signal

Artificial Intelligence

Deep Learning for Health Informatics

Practical Exercise: Pre-process ECG data for arrythmia detection

Practical Exercise: Split and resample ECG data

Practical Exercise: Classify beats using MLP and SVC models and the holdout beats validation protocol

Week 1 summary quiz

Convolutional and Recurrent Neural Networks.

Validation of Machine Learning Models

Convolutional Neural Networks

Recurrent Neural Networks

Evaluating Learning Algorithms: A

Practical Exercise: Classify beats using MLP and SVC models and the leave out patients validation protocol

Practical Exercise: Classify beats using a CNN and the beat holdout validation protocol

Practical Exercise: Classify beats using a CNN and the leave-out patients validation protocol

Practical Exercise: Classify beats using an LSTM and the beat holdout validation protocol

Practical Exercise: Classify beats using an LSTM and the leave-out patients validation protocol

End of week 2 quiz

Preprocessing and imputation of MIMIC III data

Benchmark Deep Learning Models with EHR - Part 1

Benchmark Deep Learning Models with EHR - Part 2

Imputation Strategies

Deep Learning Imputation Strategies

A Data Extraction and Representation Pipeline

Practical Exercise: Patients and time-series data extraction of MIMIC-III

Creation of Benchmark data for DNN

Practical Exercise: Pre-processing of MIMIC-III dataset

Practical Exercise: One-hot encoding and in-hospital mortality prediction

Practical Exercise: in-hospital mortality prediction using one-hot encoding and undersampling

Practical Exercise: Mean vs Joint modelling imputation

Imputation based on moments

End of week 3 quiz

EHR Encodings for machine learning models

Categorical and Continuous Variables

Bayesian Target Encoding

Encodings Inspired from NLP

Other Types of Embeddings

Practical Exercise: mean target encoding

Practical exercise: leave one out encoding

Representation Learning for Electronic Health Records

Practical Exercise: encoding using an autoencoder

Similarity Encodings

End of week 4 quiz

End of course summative quiz

Deep learning in Electronic Health Records - CDSS 2
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

    Other courses offered by Coursera

    – / –
    Start Now
    – / –
    – / –
    – / –
    – / –
    – / –
    Start Now
    View Other 6713 CoursesRight Arrow Icon
    qna

    Deep learning in Electronic Health Records - CDSS 2
     at 
    Coursera 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...