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05/08/2023
Boosting Radiology Report Generation by Infusing Comparison Prior
Current transformer-based models achieved great success in generating ra...
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03/31/2023
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
Contrastive learning methods have shown an impressive ability to learn m...
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02/08/2023
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
Background: Federated learning methods offer the possibility of training...
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10/03/2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
Background: Drug synergy occurs when the combined effect of two drugs is...
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02/19/2021
Progressive Transformer-Based Generation of Radiology Reports
Inspired by Curriculum Learning, we propose a consecutive (i.e. image-to...
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12/24/2020
AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
Background: Drug-drug interactions (DDIs) refer to processes triggered b...
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05/14/2020
Patient Similarity Analysis with Longitudinal Health Data
Healthcare professionals have long envisioned using the enormous process...
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12/30/2019
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks
Patients increasingly turn to search engines and online content before, ...
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12/22/2018
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Heart failure (HF) is one of the leading causes of hospital admissions i...
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12/08/2010