Machine learning is a process of teaching a computer system to make accurate predictions when fed data, without it being explicitly programmed to do so; instead, the computer ‘learns’ by itself through experience. Over the past couple of decades, machine learning has made multiple inroads into our daily life: banks use it to identify suspicious transactions; Amazon and Netflix use it to recommend books and movies; email providers use it to filter out spam. And now, public health researchers are starting to apply machine learning methods to explore very large data sets, such as the Sax Institute’s 45 and Up Study.
Topics: Chronic disease
Asthma patients hit by out-of-pocket costs
An asthma diagnosis doesn’t come cheap, say the authors of new research based on a survey of asthmatic women enrolled in the Sax Institute’s 45 and Up Study.
What does the future of osteoporosis look like? Computer modelling might have the answer
Researchers at the Sax Institute have used a new ‘what if’ tool to forecast future states of osteoporosis and identify the best interventions for tackling this ‘silent disease.’