AMIA Annual Symposium

Paper

01 Jan 2017

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

Paper

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation

Xiang Li, Zhaonan Sun, et al.

AMIA Annual Symposium

Paper

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach

Bin Liu, Ying Li, et al.

IEEE TKDE

Paper

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

Amrita Mohan, Zhaonan Sun, et al.

Movement Disorders

Paper

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach

Bin Liu, Ying Li, et al.

IEEE TKDE

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