• Corpus ID: 3756290

Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression

@article{Peterson2017PersonalizedGP,
  title={Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression},
  author={Kelly S. Peterson and Ognjen Rudovic and Ricardo Guerrero and Rosalind W. Picard},
  journal={ArXiv},
  year={2017},
  volume={abs/1712.00181}
}
In this paper, we introduce the use of a personalized Gaussian Process model (pGP) to predict the key metrics of Alzheimer's Disease progression (MMSE, ADAS-Cog13, CDRSB and CS) based on each patient's previous visits. We start by learning a population-level model using multi-modal data from previously seen patients using the base Gaussian Process (GP) regression. Then, this model is adapted sequentially over time to a new patient using domain adaptive GPs to form the patient's pGP. We show… 
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