Machine learning for chronic disease
Katherine E. Niehaus, David Andrew Clifton · Institution of Engineering and Technology eBooks · 2016
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