Louisa Jorm
Orcid: 0000-0003-0390-661X
According to our database1,
Louisa Jorm authored at least 24 papers
between 2019 and 2026.
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Bibliography
2026
PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling.
CoRR, March, 2026
Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review.
J. Am. Medical Informatics Assoc., 2026
2025
Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling.
CoRR, October, 2025
Attention-based synthetic data generation for calibration-enhanced survival analysis: A case study for chronic kidney disease using electronic health records.
J. Biomed. Informatics, 2025
Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025
2024
CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare.
CoRR, 2024
Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding.
CoRR, 2024
Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach.
Comput. Biol. Medicine, 2024
2023
Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit.
J. Biomed. Informatics, October, 2023
Artif. Intell. Medicine, October, 2023
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV.
J. Biomed. Informatics, August, 2023
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research.
CoRR, 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit.
CoRR, 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models.
CoRR, 2023
2022
De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.
J. Biomed. Informatics, 2022
J. Biomed. Informatics, 2022
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation.
CoRR, 2022
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV.
CoRR, 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms.
CoRR, 2022
2021
Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU.
J. Am. Medical Informatics Assoc., 2021
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project.
CoRR, 2021
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers.
CoRR, 2021
2020
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach.
CoRR, 2020
2019
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk.
CoRR, 2019