Ab initio determination of the infrared phosphine torsion spectrum in vinylphosphine with ZPE correction. - Fco. Javier Meléndez; Blanca Gallego Luxan; Jean Demaison; Yves G. Smeyers (J. Comput. Chem., 2000)

A Data Mining System for Estimating a Largesize Matrix for the Environmental Accounting. - Ting Yu 008; Manfred Lenzen; Blanca Gallego; John K. Debenham (AIAI (Workshops), 2009)

Towards bioinformatics assisted infectious disease control. - Vitali Sintchenko; Blanca Gallego; Grace Chung; Enrico W. Coiera (BMC Bioinform., 2009)

Biosurveillance of emerging biothreats using scalable genotype clustering. - Blanca Gallego; Vitali Sintchenko; Qinning Wang; Lester Hiley; Gwendolyn L. Gilbert; Enrico W. Coiera (J. Biomed. Informatics, 2009)

Diffusion of Competing Innovations: The Effects of Network Structure on the Provision of Healthcare. - Adam G. Dunn; Blanca Gallego (J. Artif. Soc. Soc. Simul., 2010)

Exploring the role of pathology test results in the prediction of remaining days of hospitalisation. - Blanca Gallego; Óscar Pérez Concha; Frank P. Y. Lin; Enrico W. Coiera (HIC, 2012)

Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial. - Annie Y. S. Lau; Vitali Sintchenko; Jacinta Crimmins; Farah Magrabi; Blanca Gallego; Enrico W. Coiera (J. Am. Medical Informatics Assoc., 2012)

HazeWatch: A participatory sensor system for monitoring air pollution in Sydney. - Vijay Sivaraman; James Carrapetta; Ke Hu; Blanca Gallego Luxan (LCN Workshops, 2013)

Insights into temporal patterns of hospital patient safety from routinely collected electronic data. - Blanca Gallego; Farah Magrabi; Óscar Pérez Concha; Ying Wang 003; Enrico W. Coiera (Health Inf. Sci. Syst., 2015)

Real-time prediction of mortality, readmission, and length of stay using electronic health record data. - Xiongcai Cai; Óscar Pérez Concha; Enrico W. Coiera; Fernando Martín-Sánchez; Richard O. Day; David Roffe; Blanca Gallego (J. Am. Medical Informatics Assoc., 2016)

Measuring the effects of computer downtime on hospital pathology processes. - Ying Wang 003; Enrico W. Coiera; Blanca Gallego; Óscar Pérez Concha; Mei-Sing Ong; Guy Tsafnat; David Roffe; Graham Jones; Farah Magrabi (J. Biomed. Informatics, 2016)

Technological Characteristics of Conversational Agents Used for Health-Related Purposes - A Systematic Review. - Liliana Laranjo; Adam G. Dunn; Huong Ly Tong; Ahmet Baki Kocaballi; Jessica A. Chen; Rabia Bashir; Didi Surian; Blanca Gallego; Farah Magrabi; Annie Y. S. Lau; Enrico W. Coiera (AMIA, 2018)

Conversational agents in healthcare: a systematic review. - Liliana Laranjo; Adam G. Dunn; Huong Ly Tong; Ahmet Baki Kocaballi; Jessica A. Chen; Rabia Bashir; Didi Surian; Blanca Gallego; Farah Magrabi; Annie Y. S. Lau; Enrico W. Coiera (J. Am. Medical Informatics Assoc., 2018)

Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital. - Yashar Maali; Óscar Pérez Concha; Enrico W. Coiera; David Roffe; Richard O. Day; Blanca Gallego (BMC Medical Informatics Decis. Mak., 2018)

Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support. - Mohamed Khalifa 002; Farah Magrabi; Blanca Gallego (CoRR, 2019)

Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools. - Mohamed Khalifa 002; Farah Magrabi; Blanca Gallego (CoRR, 2019)

Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools. - Mohamed Khalifa 002; Farah Magrabi; Blanca Gallego (CoRR, 2019)

Clinical prediction rules: A systematic review of healthcare provider opinions and preferences. - Georgina Kennedy; Blanca Gallego (Int. J. Medical Informatics, 2019)

Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support. - Mohamed Khalifa 002; Farah Magrabi; Blanca Gallego (BMC Medical Informatics Decis. Mak., 2019)

Targeted estimation of heterogeneous treatment effect in observational survival analysis. - Jie Zhu; Blanca Gallego (J. Biomed. Informatics, 2020)

Augmentation of Electronic Medical Record Data for Deep Learning. - Georgina Kennedy; Mark Dras; Blanca Gallego (MedInfo, 2021)

Comparing Broadband ISP Performance using Big Data from M-Lab. - Xiaohong Deng; Yun Feng; Thanchanok Sutjarittham; Hassan Habibi Gharakheili; Blanca Gallego; Vijay Sivaraman (CoRR, 2021)

CDSM - Casual Inference using Deep Bayesian Dynamic Survival Models. - Jie Zhu; Blanca Gallego (CoRR, 2021)

Dynamic prediction of time to event with survival curves. - Jie Zhu; Blanca Gallego (CoRR, 2021)

Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis. - Jessie Liu; Blanca Gallego; Sebastiano Barbieri (CoRR, 2021)

Predictive performance and impact of algorithms in remote monitoring of chronic conditions: A systematic review and meta-analysis. - Grant Castelyn; Liliana Laranjo; Günter Schreier 001; Blanca Gallego (Int. J. Medical Informatics, 2021)

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego; Manoj K. Saxena; Lachlan Rudd; Alejandro Metke-Jimenez; Louisa Jorm (J. Am. Medical Informatics Assoc., 2021)

Evolution of disease transmission during the course of SARS-COV-2: patterns and determinants. - Blanca Gallego; Jie Zhu (Zenodo, 2021)

Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation. - Juan C. Quiroz; David Brieger; Louisa Jorm; Raymond W. Sy; Benjumin Hsu; Blanca Gallego (CoRR, 2022)

Causal inference for observational longitudinal studies using deep survival models. - Jie Zhu; Blanca Gallego (J. Biomed. Informatics, 2022)

Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego Luxan; Alejandro Metke-Jimenez; Lachlan Rudd; Louisa Jorm (CoRR, 2023)

The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research. - Victoria Blake; Louisa Jorm; Jennifer Yu; Astin Lee; Blanca Gallego; Sze-Yuan Ooi (CoRR, 2023)

Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego Luxan; Alejandro Metke-Jimenez; Lachlan Rudd; Louisa Jorm (J. Biomed. Informatics, 2023)

Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach. - Leo C. E. Huberts; Sihan Li; Victoria Blake; Louisa Jorm; Jennifer Yu; Sze-Yuan Ooi; Blanca Gallego (Comput. Biol. Medicine, 2024)

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2025)