Tag: deep learning

An online system for answering medical questions

Summer of Research project by Qiming Bao, University of Auckland, supervised by Dr Jiamou Liu (University of Auckland). As demand for doctors increases, patients may be able to decrease pressure on the health system and save themselves money by getting a preliminary diagnosis from an automatic question-and-answer system. Existing online chatbots such as Buoy Health …

Deep Learning for Triaging GP Referrals

The patient journey is one that we have all experienced. A complex and unique journey for each patient, it usually begins at our local medical centre. Manned by the gatekeepers of healthcare, our GPs, this crucial stage of the journey is usually the one that determines whether we enter secondary care. From here, a series …

A Deep Learning Platform for GP Referral Triage

Countering bias in the health system Heart disease is the leading cause of preventable mortality in Aotearoa, New Zealand. It is a disease which disproportionately affects certain groups such as Māori – who have higher rates of ischaemic heart disease (or coronary heart disease) and stroke but have lower access to health care. It is …

Deep Representation Learning from Electronic Health Records

As Electronic Health Records (EHRs) become more ubiquitous, healthcare providers are beginning to appreciate the benefits of using this data for ‘secondary applications’, such as disease diagnosis and readmission prediction, by applying machine learning techniques (in particular, deep neural networks). The difficulty with this approach is that data from EHRs is often inconsistent, episodic, exists …