3 papers
cs.CY2019
Automatic end-to-end De-identification: Is high accuracy the only metric?
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
De-identification of electronic health records (EHR) is a vital step towards advancing health informatics research and maximising the use of available data. It is a two-step proces…
cs.AI2018
A survey of automatic de-identification of longitudinal clinical narratives
Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer
Use of medical data, also known as electronic health records, in research helps develop and advance medical science. However, protecting patient confidentiality and identity while…
cs.NE2018
Using Swarm Optimization To Enhance Autoencoders Images
Maisa Doaud, Michael Mayo
Autoencoders learn data representations through reconstruction. Robust training is the key factor affecting the quality of the learned representations and, consequently, the accura…