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Health Data Science Foundation
  • Level Expert
  • المدة 24 ساعات hours
  • الطبع بواسطة University of Illinois Urbana-Champaign
  • Offered by

عن

This course is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios. We cover 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.

الوحدات

Introduction

    • 3 Videos
    • 2 Readings
    • 1 Discussion
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1 Discussions

  • Welcome Forum

3 Videos

  • Welcome to this course!
  • Introduction: Part 1
  • Introduction: Part 2

2 Readings

  • About this course
  • Slides: Introduction

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 1 (Introduction)

Quiz

    • 1 Assignment
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1 Assignment

  • Introduction

Lab

    • 1 Programming
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1 Programming

  • Lab 1

Health Data

    • 4 Videos
    • 1 Readings
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4 Videos

  • Health Data - Introduction
  • Health Data: EHR, Notes
  • Health Data: Claims, Signals
  • Health Data: Images, Literature, Drugs

1 Readings

  • Slides: Health Data

Health Data Standards

    • 4 Videos
    • 1 Readings
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4 Videos

  • Health Data Standards: Intro & ICD
  • Health Data Standards: CPT, LOINC, NDC
  • Health Data Standards: SNOMED
  • Health Data Standards: UMLS

1 Readings

  • Slides: Health Data Standards

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 2 (Health Data)

Quiz

    • 1 Assignment
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1 Assignment

  • Health Data

Homework

    • 1 Programming
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1 Programming

  • Homework 1

Supervised Learning

    • 4 Videos
    • 1 Readings
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4 Videos

  • Prediction Target
  • Cohort Construction
  • Feature Construction
  • Predictive Model and Evaluation

1 Readings

  • Slides: Supervised Learning

Unsupervised Learning

    • 2 Videos
    • 1 Readings
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2 Videos

  • Dimensionality Reduction
  • Clustering

1 Readings

  • Slides: Unsupervised Learning

Evaluation Metrics

    • 3 Videos
    • 1 Readings
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3 Videos

  • Performance Metrics
  • Classification Metrics
  • Regression and Clustering Metrics

1 Readings

  • Slides: Evaluation

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 3 (Machine Learning Basics)

Quiz

    • 1 Assignment
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1 Assignment

  • Machine Learning Basics

Lab

    • 1 Programming
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1 Programming

  • Lab 2

Deep Neural Networks

    • 4 Videos
    • 1 Readings
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4 Videos

  • Single Neuron Basics
  • Training a Single Neuron: SGD
  • Forward and Backward Computation
  • Multilayer Neural Network

1 Readings

  • Slides: Deep Neural Networks

Textbook

    • 1 Readings
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1 Readings

  • Textbook Chapter 4 (Deep Neural Networks (DNN))

Quiz

    • 1 Assignment
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1 Assignment

  • Deep Neural Networks

Homework

    • 1 Programming
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1 Programming

  • Homework 2 (Neural Network)

End of Course Survey

    • 1 Plugin
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Auto Summary

"Health Data Science Foundation" is an expert-level course by Coursera, designed for those in machine learning interested in medical applications or medical professionals exploring modern computer science. It covers health data analysis, neural networks, and deep learning (DL) methods applied to real-world medical scenarios. The course includes video lectures, self-guided labs, homework, and a project, lasting 1440 minutes. Subscription options include Starter and Professional. Ideal for learners aiming to integrate DL in healthcare, potentially leading to scientific publications.

Jimeng Sun
Instructor

Jimeng Sun