GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care

@article{Hoogendoorn2019GPHDUG,
  title={GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care},
  author={Mark Hoogendoorn and Ward van Breda and Jeroen Ruwaard},
  journal={2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI)},
  year={2019},
  pages={1-8}
}
The huge wealth of data in the health domain can be exploited to create models that predict development of health states over time. Temporal learning algorithms are well suited to learn relationships between health states and make predictions about their future developments. However, these algorithms: (1) either focus on learning one generic model for all patients, providing general insights but often with limited predictive performance, or (2) learn individualized models from which it is hard… 
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