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08/04/2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
During the COVID-19 pandemic, rapid and accurate triage of patients at t...
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06/30/2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
We propose a novel framework to perform classification via deep learning...
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05/26/2020
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
Clinical interactions are initially recorded and documented in free text...
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12/08/2019
Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease
The cause of Alzheimer's disease (AD) is poorly understood, so forecasti...
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11/26/2019
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study
Twitter data has been shown broadly applicable for public health surveil...
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11/18/2019
Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction
As machine learning (ML) models, trained on real-world datasets, become ...
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11/13/2019
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Quantitative, volumetric analysis of Magnetic Resonance Imaging (MRI) is...
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11/09/2019
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
Early detection is a crucial goal in the study of Alzheimer's Disease (A...
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08/15/2018
