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South Western Sydney Local Health District

Australia

2 papers here6 citations across 2
fields
  • cs.AI1
  • stat.ML1
ROR 05j37e495OpenAlex

affiliations via OpenAlex

most citedDistributed learning optimisation of Cox models can leak patient data: Risks and solutions

6 citations

researchers with a paper here
  • C. Brink1 · h 33
  • C. Hansen1 · h 30
  • D. Thwaites1 · h 36
  • Gareth R. Price1 · h 5
  • Jim Basilakis1 · h 1
  • L. Pierce1 · h 3
  • Macarthur Cancer Therapy Centres1 · h 1
  • M. Field1 · h 8
  • Nasser Ghadiri1 · h 1
  • N. Sarup1 · h 5
  • N. Wales.1 · h 7
  • N. Win1 · h 2
collaborating institutions
  • UNSW SydneyAU2 papers
  • Garvan Institute of Medical ResearchAU1 paper
  • Ingham InstituteAU1 paper
  • Liverpool HospitalAU1 paper
  • Manchester Academic Health Science CentreGB1 paper
  • Odense University HospitalDK1 paper
  • The Christie NHS Foundation TrustGB1 paper
  • The University of SydneyAU1 paper
  • University of ManchesterGB1 paper
  • University of Southern DenmarkDK1 paper
  • Western Sydney UniversityAU1 paper

2 papers

cs.AI2026

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition

Nwe Ni Win, Jim Basilakis, Steven Thomas +6

Extracting clinically relevant information from unstructured medical narratives such as admission notes, discharge summaries, and emergency case histories remains a challenge in cl…

stat.ML2022★ 6 cited

Distributed learning optimisation of Cox models can leak patient data: Risks and solutions

Carsten Brink, Christian Rønn Hansen, Matthew Field +5

Medical data are often highly sensitive, and frequently there are missing data. Due to the data's sensitive nature, there is an interest in creating modelling methods where the dat…

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