SOCR ≫ DSPA ≫ DSPA2 Topics ≫

1 Amyotrophic Lateral Sclerosis (ALS) Case-Study

Use the ALS dataset. This case-study examines the patterns, symmetries, associations and causality in a rare but devastating progressive neurodegenerative disease, amyotrophic lateral sclerosis (ALS). Major clinically relevant questions include: What patient phenotypes can be automatically and reliably identified and used to predict the change of the ALSFRS slope over time?

  • Load and prepare the data
  • report data summary and show some preliminary visualizations
  • Train a k-Means model on the data, select \(k\) according to the guide in Chapter 8 notes
  • Evaluate the model performance using bar and silhouette plots and summarize the results
  • Tune and plot parameters with k-means++
  • Rerun the model with the optimal parameters and interpret the clustering results
  • Apply Hierarchical Clustering on three different linkages and compare the corresponding silhouette plots
  • Fit a Gaussian mixture model, select the optimal model, report BIC, and display density and classification plots
  • Compare the result of the above methods

You can also try this protocol on some additional datasets from the list of our Case-Studies.

SOCR Resource Visitor number Web Analytics SOCR Email