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01/26/2023
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Modeling text-based time-series to make prediction about a future event ...
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12/12/2022
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Background: Encouraged by the success of pretrained Transformer models i...
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07/05/2022
Applying data technologies to combat AMR: current status, challenges, and opportunities on the way forward
Antimicrobial resistance (AMR) is a growing public health threat, estima...
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04/22/2022
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
International Classification of Diseases (ICD) coding plays an important...
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01/01/2021
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Objective:Electronic Medical Records (EMRs) contain clinical narrative t...
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08/24/2020
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates
In this paper, we study smooth stochastic multi-level composition optimi...
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07/13/2020
A Label Attention Model for ICD Coding from Clinical Text
ICD coding is a process of assigning the International Classification of...
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12/03/2018
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals
Reviewing radiology reports in emergency departments is an essential but...
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07/11/2016
