Tag: machine learning

Smart Search: Clinical Document Semantic Search

A ‘Google’ for Electronic Health Records  Ten minutes can be an eternity for medical professionals that need to make split-second decisions to save lives. If they miss a single piece of vital information it could prove critical – but equally, if they waste precious time searching for data, that too can be damaging to the …

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 …

Picking up the Pace of Precision Medicine

Summer of Research project by Kevin Howe, University of Auckland, supervised by Dr Patrick Gladding. It’s incredible how advanced medical technology has become. Many illnesses that were previously fatal are now treated with ease. Even something as serious as heart failure can be survived, and subsequently treated with an implanted cardiac resynchronization therapy (CRT) device. …

Knowledge is Power

Summer of Research project by Seyedjamal (Jamal) Zolhavarieh, AUT, supervised by Dave Parry. While the discovery of new health information is always a good thing, it can lead to difficulties. Doctors and specialists are required to actively ensure they are informed about the latest innovations and news in their field. This includes the latest clinical …

HOPE: Health Outcomes Prediction Engine

Currently, treatment decisions for elective surgery are currently based on clinicians’ assessments of the benefits the surgery will bring to the patient. This assessment is derived from the clinicians’ personal experience and knowledge of published evidence of effectiveness. In New Zealand, eligibility for surgery is based on a prioritisation score derived from this clinical assessment …