13 citations · 16 across the 3 of their papers we have counts for
3 papers
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Thanh-Dung Le, Rita Noumeir, Jerome Rambaud +2
When dealing with clinical text classification on a small dataset recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, in…
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation
Thanh-Dung Le, Rita Noumeir, Jerome Rambaud +2
The rapid progress in clinical data management systems and artificial intelligence approaches enable the era of personalized medicine. Intensive care units (ICUs) are the ideal cli…
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
Thanh-Dung Le, Rita Noumeir, Jerome Rambaud +2
The purpose of the study presented herein is to develop a machine learning algorithm based on natural language processing that automatically detects whether a patient has a cardiac…