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