Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

Alan Turing Institute via YouTube Direct link

Interpretability

9 of 20

9 of 20

Interpretability

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Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

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  1. 1 Intro
  2. 2 Machine Learning & Clinical Practice
  3. 3 Machine Learning & Medicine: Vision
  4. 4 Machine Learning in Prognostic Research
  5. 5 Prognostic Modeling using Machine Learning
  6. 6 What is a pipeline?
  7. 7 Ensembles
  8. 8 Goal: predict the performance of ML pipelines
  9. 9 Interpretability
  10. 10 AutoPrognosis: Automating Prognostic Modeling
  11. 11 Related Works
  12. 12 AutoPrognosis: System Overview
  13. 13 AutoPrognosis: Pipeline Components
  14. 14 Automated Pipeline Configuration (1)
  15. 15 The Curse of Dimensionality
  16. 16 The Structured Nature of Hyperparameters
  17. 17 Bayesian Optimisation with Structured Kernel Learning
  18. 18 Benchmarks
  19. 19 Application to Cardiovascular Cohorts
  20. 20 AutoPrognosis: A Solution for MANY problems

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