Anthony Nguyen
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View article: Reinforcement Learning Control of Quantum Error Correction
Reinforcement Learning Control of Quantum Error Correction Open
The promise of fault-tolerant quantum computing is challenged by environmental drift that relentlessly degrades the quality of quantum operations. The contemporary solution, halting the entire quantum computation for recalibration, is unsu…
View article: Quantum computation of molecular geometry via many-body nuclear spin echoes
Quantum computation of molecular geometry via many-body nuclear spin echoes Open
Quantum-information-inspired experiments in nuclear magnetic resonance spectroscopy may yield a pathway towards determining molecular structure and properties that are otherwise challenging to learn. We measure out-of-time-ordered correlat…
View article: A scoping review of the governance of federated learning in healthcare
A scoping review of the governance of federated learning in healthcare Open
In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding et…
View article: Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models
Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models Open
Clinical predictive analysis is a crucial task with numerous applications and has been extensively studied using machine learning approaches. Clinical notes, a vital data source, have been employed to develop natural language processing (N…
View article: Intra-Layer Recurrence in Transformers for Language Modeling
Intra-Layer Recurrence in Transformers for Language Modeling Open
Transformer models have established new benchmarks in natural language processing; however, their increasing depth results in substantial growth in parameter counts. While existing recurrent transformer methods address this issue by reproc…
View article: Dental Student Engagement in Research: A Survey of California Dental Schools
Dental Student Engagement in Research: A Survey of California Dental Schools Open
Objective Research engagement is a vital component of dental education, fostering the development of evidence-based practices and advancing the field of dentistry. Understanding factors that influence research involvement among dental stud…
View article: e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation Open
The Shared Task on Large-Scale Radiology Report Generation (RRG24) aims to expedite the development of assistive systems for interpreting and reporting on chest X-ray (CXR) images. This task challenges participants to develop models that g…
View article: Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights
Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights Open
Applying a novel deep learning approach to identifying pain guides methodological approaches to evaluating pain care interventions in the ED, giving previously unavailable population-level insights.
View article: e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models
e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models Open
Clinical documentation is an important aspect of clinicians' daily work and often demands a significant amount of time. The BioNLP 2024 Shared Task on Streamlining Discharge Documentation (Discharge Me!) aims to alleviate this documentatio…
View article: Uncovering Variations in Clinical Notes for NLP Modeling
Uncovering Variations in Clinical Notes for NLP Modeling Open
Clinical text contains rich patient information and has attracted much research interest in applying Natural Language Processing (NLP) tools to model it. In this study, we quantified and analyzed the textual characteristics of five common …
View article: Developing Robust Clinical Text Deep Learning Models – A “Painless” Approach
Developing Robust Clinical Text Deep Learning Models – A “Painless” Approach Open
The success of deep learning in natural language processing relies on ample labelled training data. However, models in the health domain often face data inadequacy due to the high cost and difficulty of acquiring training data. Developing …
View article: Overcoming leakage in quantum error correction
Overcoming leakage in quantum error correction Open
View article: Analyzing Pain Patterns in the Emergency Department: Leveraging Clinical Text Deep Learning Models for Real-World Insights
Analyzing Pain Patterns in the Emergency Department: Leveraging Clinical Text Deep Learning Models for Real-World Insights Open
Objective To estimate the prevalence of patients presenting in pain to an inner-city emergency department (ED), describing this population, their treatment, and the effect of the COVID-19 pandemic. Materials and Methods We applied a clinic…
View article: Automated ICD coding using extreme multi-label long text transformer-based models
Automated ICD coding using extreme multi-label long text transformer-based models Open
Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) coding tasks is now actively being explored. In this study, we investigated …
View article: Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities Open
We propose a multimodal model for robust clinical prediction to achieve improved performance while accommodating patients with missing modalities. This work could inspire future research to study the effective incorporation of multiple, mo…
View article: Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study
Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study Open
Background The narrative free-text data in electronic medical records (EMRs) contain valuable clinical information for analysis and research to inform better patient care. However, the release of free text for secondary use is hindered by …
View article: Unveiling the Prognostic Significance of BCL6+/CD10+ Mantle Cell Lymphoma: Meta-Analysis of Individual Patients and Systematic Review
Unveiling the Prognostic Significance of BCL6+/CD10+ Mantle Cell Lymphoma: Meta-Analysis of Individual Patients and Systematic Review Open
Mantle cell lymphoma (MCL) is a type of non-Hodgkin lymphoma (NHL) characterized by a hallmark translocation of t (11; 14). CD10 negativity has been used to differentiate MCL from other NHL types; however, recently, there has been an incre…
View article: COVID-19 and Clostridioides difficile Coinfection Outcomes among Hospitalized Patients in the United States: An Insight from National Inpatient Database
COVID-19 and Clostridioides difficile Coinfection Outcomes among Hospitalized Patients in the United States: An Insight from National Inpatient Database Open
The incidence of Clostridioides difficile infection (CDI) has been increasing compared to pre-COVID-19 pandemic levels. The COVID-19 infection and CDI relationship can be affected by gut dysbiosis and poor antibiotic stewardship. As the CO…
View article: Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint)
Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint) Open
BACKGROUND The narrative free-text data in electronic medical records (EMRs) contain valuable clinical information for analysis and research to inform better patient care. However, the release of free text for secondary use is hindered by…
View article: Successful Management of Iatrogenic Cranial Pseudomeningocele With Subgaleal Shunt
Successful Management of Iatrogenic Cranial Pseudomeningocele With Subgaleal Shunt Open
Iatrogenic pseudomeningocele is a common complication of cranial surgeries. However, there are no evidence-based guidelines on how to manage this condition. We report two cases of iatrogenic postoperative cranial pseudomeningocele that fai…
View article: Cerebral Fat Embolism Syndrome in a Patient With an Aortic Dissection and Orthopedic Injuries: A Case Report
Cerebral Fat Embolism Syndrome in a Patient With an Aortic Dissection and Orthopedic Injuries: A Case Report Open
Traumatic brain injury is a significant cause of morbidity and mortality in adults and can be associated with severe secondary complications, including post-traumatic cerebral infarction. One potential cause of post-traumatic cerebral infa…
View article: Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text Open
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 test the model using the same input window, but this approach …
View article: Association between obesity and chronic kidney disease: multivariable Mendelian randomization analysis and observational data from a bariatric surgery cohort
Association between obesity and chronic kidney disease: multivariable Mendelian randomization analysis and observational data from a bariatric surgery cohort Open
Obesity is postulated to independently increase chronic kidney disease (CKD), even after adjusting for type 2 diabetes (T2D) and hypertension. Dysglycemia below T2D thresholds, frequently seen with obesity, also increases CKD risk. Wheth…
View article: Leveraging Unlabeled Clinical Data to Boost Performance of Risk Stratification Models for Suspected Acute Coronary Syndrome.
Leveraging Unlabeled Clinical Data to Boost Performance of Risk Stratification Models for Suspected Acute Coronary Syndrome. Open
The performance of deep learning models in the health domain is desperately limited by the scarcity of labeled data, especially for specific clinical-domain tasks. Conversely, there are vastly available clinical unlabeled data waiting to b…
View article: Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models Open
Background: Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) coding tasks is now actively being explored. In this study, we i…
View article: Fractional Dirac Equations from Polynomial Linearization: Solutions and Difficulties
Fractional Dirac Equations from Polynomial Linearization: Solutions and Difficulties Open
The linearization of a quadratic form gives rise to a Clifford algebra structure, as seen in Dirac's factorization of the d'Alembert operator. A similar structure known as a generalized Clifford algebra arises from the continuation of this…
View article: COVID-19 Alcoholic Cirrhosis and Non-Alcoholic Steatohepatitis Cirrhosis Outcomes among Hospitalized Patients in the United States: Insight from National Inpatient Sample Database
COVID-19 Alcoholic Cirrhosis and Non-Alcoholic Steatohepatitis Cirrhosis Outcomes among Hospitalized Patients in the United States: Insight from National Inpatient Sample Database Open
Patients with co-morbidities like cirrhosis are at risk of worse outcome from COVID-19 infection. Given limited prior studies, we evaluated outcomes associated with COVID-19 infection in alcoholic and non-alcoholic steatohepatitis cirrhoti…
View article: Digital Rectal Exam in the Acute Hospital Setting: Bridging Patient Experience and the Physician Perspective
Digital Rectal Exam in the Acute Hospital Setting: Bridging Patient Experience and the Physician Perspective Open
The digital rectal examination is one of the key physical examination tools used in the assessment of gastrointestinal bleed, different rectal diseases and prostate disease. It is an invasive diagnostic test that has a significant level of…
View article: Overcoming leakage in scalable quantum error correction
Overcoming leakage in scalable quantum error correction Open
Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit …
View article: Stochastic Zeroth-order Functional Constrained Optimization: Oracle Complexity and Applications
Stochastic Zeroth-order Functional Constrained Optimization: Oracle Complexity and Applications Open
Functionally constrained stochastic optimization problems, where neither the objective function nor the constraint functions are analytically available, arise frequently in machine learning applications. In this work, assuming we only have…