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Advanced Deep Learning Methods for Healthcare
  • Level Expert
  • Duration 17 hours
  • Course by University of Illinois Urbana-Champaign
  • Offered by

About

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.

Modules

Introduction

    • 1 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Welcome Forum

1 Videos

  • Welcome to this course!

1 Readings

  • About this course

Attention Models

    • 3 Videos
    • 1 Readings
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3 Videos

  • Attention Models: Introduction
  • Applied Attention Models: Retain
  • Applied Attention Models: Heart Failure Example

1 Readings

  • Slides: Attention Models

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 9 (Attention)

Quiz

    • 1 Assignment
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1 Assignment

  • Attention Model

Homework 4

    • 1 Programming
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1 Programming

  • Homework 4 (RETAIN)

Graph Neural Networks - Basics

    • 2 Videos
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2 Videos

  • GNN: Key Components
  • GNN: General Design

Deep Learning on Graphs

    • 3 Videos
    • 1 Readings
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3 Videos

  • GCN
  • MPNN
  • GAT

1 Readings

  • Slides: GNN

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 10 (Graph Neural Networks)

Quiz

    • 1 Assignment
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1 Assignment

  • Graph Neural Networks

Homework 5

    • 1 Programming
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1 Programming

  • Homework 5 (Graph Neural Network)

Memory Networks: Overview

    • 2 Videos
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2 Videos

  • Memory Networks
  • End-to-end Memory Networks

Transformer

    • 3 Videos
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3 Videos

  • Transformer: Introduction
  • Self Attention: Part 1
  • Self Attention: Part 2

Applications

    • 3 Videos
    • 1 Readings
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3 Videos

  • Doctor2Vec
  • GAMENet
  • G-BERT

1 Readings

  • Slides: Memory Networks

Textbook

    • 1 Readings
Show info about module content

1 Readings

  • Textbook Chapter 11 (Memory Networks)

Quiz

    • 1 Assignment
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1 Assignment

  • Memory Network

Generative Models

    • 4 Videos
    • 1 Readings
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4 Videos

  • Generative Adversarial Network (GAN) - Method
  • Generative Adversarial Network (GAN) - Application
  • Variational Autoencoder (VAE) - Method
  • Variational Autoencoder (VAE) - Application

1 Readings

  • Slides: Generative Models

Textbook

    • 1 Readings
Show info about module content

1 Readings

  • Textbook Chapter 12 (Generative Models)

Quiz

    • 1 Assignment
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1 Assignment

  • Generative Models

Auto Summary

"Advanced Deep Learning Methods for Healthcare" is an expert-level course offered by Coursera, focusing on deep learning techniques applied to healthcare data. Led by industry experts, the course includes video lectures, self-guided labs, and a significant project. Over 1020 hours, learners will develop practical DL models, potentially leading to scientific publications. Ideal for professionals seeking to enhance their expertise in Data Science and AI within the healthcare domain.

Jimeng Sun
Instructor

Jimeng Sun