AMIA Annual Symposium

Paper

01 Jan 2017

A Data-Driven Method for Generating Robust Symptom Onset Indicators in Huntington's Disease Registry Data

Conference paper

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AAAI 2018

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A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design

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Movement Disorders

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A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data

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JAMIA Open

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Unsupervised learning with contrastive latent variable models

Kristen A. Severson, Soumya Ghosh, et al.

AAAI 2019

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