Search Results for author: Anthony Nguyen

Found 17 papers, 3 papers with code

Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text

no code implementations26 Jan 2023 Jinghui Liu, Daniel Capurro, Anthony Nguyen, Karin Verspoor

In this study, we propose to treat this neglected text as privileged information available during training to enhance early prediction modeling through knowledge distillation, presented as Learning using Privileged tIme-sEries Text (LuPIET).

Knowledge Distillation Time Series +2

Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models

1 code implementation12 Dec 2022 Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

XR-Transformer, the new SOTA model in the general extreme multi-label text classification domain, and XR-LAT, a novel adaptation of the XR-Transformer model, were also trained on the MIMIC-III dataset.

Multi Label Text Classification Multi-Label Text Classification +1

Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

1 code implementation22 Apr 2022 Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable prediction of ICD codes from clinical documents.

Continual Pretraining

De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models

no code implementations1 Jan 2021 Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

Our end-to-end de-identification framework consists of three components: 1) Annotation: labelling of PII in the 600 hospital discharge summaries using five pre-defined categories: person, address, date of birth, individual identification number, phone/fax number; 2) Modelling: training six named entity recognition (NER) deep learning base-models on balanced and imbalanced datasets; and evaluating ensembles that combine all six base-models, the three base-models with the best F1 scores and the three base-models with the best recall scores respectively, using token-level majority voting and stacking methods; and 3) De-identification: removing PII from the hospital discharge summaries.

De-identification named-entity-recognition +2

Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates

no code implementations24 Aug 2020 Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen

We show that the first algorithm, which is a generalization of \cite{GhaRuswan20} to the $T$ level case, can achieve a sample complexity of $\mathcal{O}(1/\epsilon^6)$ by using mini-batches of samples in each iteration.

A Label Attention Model for ICD Coding from Clinical Text

2 code implementations13 Jul 2020 Thanh Vu, Dat Quoc Nguyen, Anthony Nguyen

In this paper, we propose a new label attention model for automatic ICD coding, which can handle both the various lengths and the interdependence of the ICD code related text fragments.

Medical Code Prediction

The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction

no code implementations ALTA 2016 Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony Nguyen

This study investigates the use of unsupervised word embeddings and sequence features for sample representation in an active learning framework built to extract clinical concepts from clinical free text.

Active Learning Informativeness +1

Cannot find the paper you are looking for? You can Submit a new open access paper.