Software

23Nov 2017

Our research has developed advanced natural language processing, information retrieval, and machine learning approaches to overcome the problems of ‘understanding and reasoning with clinical data’. Medical Free Text Retrieval & Analytics The majority of health data is recorded in unstructured free-text; clinical examination reports, nursing notes, discharge summaries, death certificates are just some examples. This […]

23Nov 2017

Minimises overhead for set up and processing of new projects. NGSANE We developed NGSANE [2], a Linux-based, HPC-enabled framework that minimises overhead for set up and processing of new projects yet maintains full flexibility of custom scripting and data provenance. NGSANE process raw sequencing data either on a local cluster or third party Compute Cloud […]

23Nov 2017

  Genomic information is increasingly being used for medical research, giving rise to the need for efficient analysis methodology able to cope with thousands of individuals and millions of variants. The widely used Hadoop MapReduce architecture and associated machine learning library, Mahout, provide the means for tackling computationally challenging tasks[1,2]. However, many genomic analyses do […]

22Nov 2017
MILXView interface displaying a CT scan for a prostate cancer patient with their radiation treatment dose overlaid (darker colours indicate higher dose).

Designed and developed to support internal research efforts, provide a viable and robust environment for clinical applications.           Introduction The MILXView platform was developed by the Biomedical Imaging team at the Australian e-Health Research Centre (AEHRC) and we acknowledge all staff, past and present, that have contributed to its development. The […]

18Nov 2017

Recording the right code — diagnosis, procedure, medication — can be simple. With fast, incremental search, and context-specific result ordering Ontoserver puts SNOMED CT, AMT, LOINC, and FHIR-based CodeSystems at your fingertips. Available under licence from the CSIRO’s Australian eHealth Research Centre. More information about Ontoserver and AEHRC other terminology tools.