49 citations · 129 across the 7 of their papers we have counts for
7 papers
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Jinghui Liu, Daniel Capurro, Anthony Nguyen +1
Modeling text-based time-series to make prediction about a future event or outcome is an important task with a wide range of applications. The standard approach is to train and tes…
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
Background: Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) codin…
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical l…
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identi…
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics
Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail
Inferring topological characteristics of complex networks from observed data is critical to understand the dynamical behavior of networked systems, ranging from the Internet and th…
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals
Hamed Hassanzadeh, Mahnoosh Kholghi, Anthony Nguyen +1
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramaticall…
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction
Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon +2
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 f…