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09/15/2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Scarcity of health care resources could result in the unavoidable conseq...
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08/26/2023
Exploring Large Language Models for Knowledge Graph Completion
Knowledge graphs play a vital role in numerous artificial intelligence t...
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05/07/2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury
Acute kidney injury (AKI) is a common clinical syndrome characterized by...
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02/27/2022
Distribution Preserving Graph Representation Learning
Graph neural network (GNN) is effective to model graphs for distributed ...
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12/24/2021
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
Background: The increasing adoption of electronic health records (EHR) a...
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12/20/2021
Natural language processing to identify lupus nephritis phenotype in electronic health records
Systemic lupus erythematosus (SLE) is a rare autoimmune disorder charact...
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12/15/2020
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning
Genetic pathways usually encode molecular mechanisms that can inform tar...
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10/12/2020
Towards Expressive Graph Representation
Graph Neural Network (GNN) aggregates the neighborhood of each node into...
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09/07/2019
KG-BERT: BERT for Knowledge Graph Completion
Knowledge graphs are important resources for many artificial intelligenc...
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03/31/2019
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks
Laboratory testing and medication prescription are two of the most impor...
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03/31/2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Image representation is a fundamental task in computer vision. However, ...
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12/13/2018
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model
In Bayesian classification, it is important to establish a probabilistic...
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12/07/2018
Local Distribution in Neighborhood for Classification
The k-nearest-neighbor method performs classification tasks for a query ...
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11/07/2018
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Acute kidney injury (AKI) in critically ill patients is associated with ...
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09/27/2018
Cancer classification and pathway discovery using non-negative matrix factorization
Extracting genetic information from a full range of sequencing data is i...
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09/27/2018
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk
ICU mortality risk prediction is a tough yet important task. On one hand...
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09/20/2018
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Thoracic diseases are very serious health problems that plague a large n...
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09/20/2018
Distribution Networks for Open Set Learning
In open set learning, a model must be able to generalize to novel classe...
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09/15/2018
Graph Convolutional Networks for Text Classification
Text Classification is an important and classical problem in natural lan...
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07/17/2018
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
Clinical text classification is an important problem in medical natural ...
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07/17/2018
Developing a Portable Natural Language Processing Based Phenotyping System
This paper presents a portable phenotyping system that is capable of int...
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06/12/2018
Are My EHRs Private Enough? -Event-level Privacy Protection
Privacy is a major concern in sharing human subject data to researchers ...
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06/04/2018
Efficient Genomic Interval Queries Using Augmented Range Trees
Efficient large-scale annotation of genomic intervals is essential for p...
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05/14/2018
