Python for Data Science and Machine Learning in Healthcare - Module at Imperial College London

Published: February 4, 2023

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WEEK 1:

• lecture: What is data science and machine learning - and why healthcare
  • part 0: Outline of the course
  • part 1: What is data science and machine learning - and why healthcare
  • part 2: How does a machine learning model learn?
• practical: Setting up jupyter notebook (practical exercise)

WEEK 2:

• lecture:
  • part 1: Introduction to Python Programming
  • part 2: Python for Data Science
• practical:
  • Introduction to Python Programming
  • Coding a Medical Calculator

WEEK 3:

• lectures:
  • A generalisable data science pipeline: how to apply data science to real world problems
  • Key Challenges and Considerations for Real-World use of ML in Healthcare
• practical: diagnosing breast cancer with AI (challenge to get best performance).
• practical: Stroke prediction (with an imbalanced dataset)

WEEK 4:

• lectures:
  • An Introduction to Neural Networks
  • Deep Learning: Computer Vision
• practical: CXR classification using open dataset

WEEK 5:

• lecture: Deep Learning: Sequential data and NLP
• practical: Extracting Insights from Medical Research Papers with NLP

WEEK 6:

• lecture: Commercial Applications in Healthcare
• practical: Classifying breast cancer molecular subtypes using gene expression data