Search Results for author: Yuria Utsumi

Found 3 papers, 1 papers with code

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration

no code implementations26 May 2023 Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David Sontag

We aimed to build machine learning algorithms to identify pregnant patients and triage them by risk of complication to assist care management.

Management

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

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

Cannot find the paper you are looking for? You can Submit a new open access paper.