De-Identification of GP e-referrals for a deep learning-based triage decision support tool Medical student Nick James has developed a neural network model that can find identifying details in patient records, so the details can be removed making the records available...
Deep learning-based Melanoma prediction from skin images One method of detecting Melanoma is through the usage of machine learning on medical images. Summer of Research Project by Sivaram Manoharan, supervised by Bernhard Pfahringer, University of Auckland. Melanoma...
Machine readable clinical guidelines and pathways There has recently been rapid growth in the use of clinical guidelines and pathways for the assessment, diagnosis and management of medical conditions. Summer of Research Project by David Bassett, supervised by Dr....
Improved planning for the scheduling of surgeries To better allocate resources and plan for surgeries, Counties Manukau District Health Board (CMDHB) require data-driven analysis of their surgical scheduling. This will help them to understand the effect of...
Survey of machine learning-based approaches to de-identification of medical documents Protecting patient confidentiality while using medical data from electronic health records (EHRs) for research is crucial. De-identification of EHR data provides the opportunity to...
