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Machine learning for chronic disease

Machine learning for chronic disease

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Chapter Contents:

  • 11.1 Introduction
  • 11.2 Data
  • 11.2.1 EHR data
  • 11.2.2 Genomic data
  • 11.3 EVT applied to longitudinal data
  • 11.3.1 Classical EVT
  • 11.3.2 EVT from a point process perspective
  • 11.3.3 Practicalities
  • 11.3.4 Application of EVT models to healthcare
  • 11.3.5 Advanced topics
  • 11.3.6 Conclusions on EVT
  • 11.4 Patient clustering
  • 11.4.1 Clustering overview
  • 11.4.2 Modelling choices applicable to chronic disease applications
  • 11.4.3 Clustering extensions
  • 11.4.4 Practical considerations in unsupervised clustering
  • 11.4.5 Clustering conclusions
  • 11.5 Conclusion
  • References

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