Search Results for author: Kelly Peterson

Found 4 papers, 3 papers with code

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

1 code implementation1 Dec 2017 Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard

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.

Future prediction Gaussian Processes +1

Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)

1 code implementation22 Feb 2018 Yuria Utsumi, Ognjen Rudovic, Kelly Peterson, Ricardo Guerrero, Rosalind W. Picard

In this paper, we introduce the use of a personalized Gaussian Process model (pGP) to predict per-patient changes in ADAS-Cog13 -- a significant predictor of Alzheimer's Disease (AD) in the cognitive domain -- using data from each patient's previous visits, and testing on future (held-out) data.

Gaussian Processes

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes

no code implementations19 Apr 2019 Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard

We introduce a novel personalized Gaussian Process Experts (pGPE) model for predicting per-subject ADAS-Cog13 cognitive scores -- a significant predictor of Alzheimer's Disease (AD) in the cognitive domain -- over the future 6, 12, 18, and 24 months.

Meta-Learning regression

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