Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization

no code implementations • 22 Mar 2024 • Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong

Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains.

Domain Generalization Federated Learning +1

The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks

no code implementations • 1 Apr 2019 • Eugene Laksana, Melissa Aczon, Long Ho, Cameron Carlin, David Ledbetter, Randall Wetzel

Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies.

feature selection ICU Mortality

The Dependence of Machine Learning on Electronic Medical Record Quality

no code implementations • 23 Mar 2017 • Long Ho, David Ledbetter, Melissa Aczon, Randall Wetzel

There is growing interest in applying machine learning methods to Electronic Medical Records (EMR).

BIG-bench Machine Learning ICU Mortality

Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks

no code implementations • 6 Feb 2017 • David Ledbetter, Long Ho, Kevin V Lemley

A Convolutional Neural Network was used to predict kidney function in patients with chronic kidney disease from high-resolution digital pathology scans of their kidney biopsies.

Kidney Function