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author:("bruna, Peter")
1.  Towards semantic search and inference in electronic medical records: An approach using concept-­based information retrieval 
The Australasian Medical Journal  2012;5(9):482-488.
Background
This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching.
Aim
The concept-based approach is intended to overcome specific challenges we identified in searching medical records.
Method
Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology.
Results
Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision.
Conclusion
The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.
doi:10.4066/AMJ.2012.1362
PMCID: PMC3477777  PMID: 23115582
Electronic medical records; Information retrieval; Semantic search and inference; Health informatics.
2.  Is there something quantum-like about the human mental lexicon? 
Following an early claim by Nelson & McEvoy (35) suggesting that word associations can display ‘spooky action at a distance behaviour’, a serious investigation of the potentially quantum nature of such associations is currently underway. In this paper quantum theory is proposed as a framework suitable for modelling the human mental lexicon, specifically the results obtained from both intralist and extralist word association experiments. Some initial models exploring this hypothesis are discussed, and experiments capable of testing these models proposed.
doi:10.1016/j.jmp.2009.04.004
PMCID: PMC2834425  PMID: 20224806
quantum theory; contextuality; semantic structure; human memory experiments; quantum interaction

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