By Professor Louisa Jorm

Preprints

Quiroz J; Chard T; Sa Z; Ritchie A; Jorm L; Gallego B, 2021, Extract, Transform, Load Framework for the Conversion of Health Databases to OMOP, , http://dx.doi.org/10.1101/2021.04.08.21255178

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2020, De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models, , http://dx.doi.org/10.48550/arxiv.2101.00146

Barbieri S; Mehta S; Wu B; Bharat C; Poppe K; Jorm L; Jackson R, 2020, Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach, , http://dx.doi.org/10.48550/arxiv.2011.14032

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2019, Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk, , http://dx.doi.org/10.48550/arxiv.1905.08547

Other

JORM LR, 1991, STRANGLES IN HORSE STUDS - INCIDENCE, RISK-FACTORS AND EFFECT OF VACCINATION - REPLY, AUSTRALIAN VETERINARY ASSN, , http://dx.doi.org/10.1111/j.1751-0813.1991.tb03249.x

Back to profile page