Quarkside

28/05/2013

Predictive Monitoring: Hackathon success

Filed under: Technology — lenand @ 2:13 pm
Tags: , ,

In the era of big data, analytical methods have to be fast and effective.  Traditional statistical and rule based methods cannot keep pace with volumes and variety of data being collected.  They will miss patterns of data that could improve decision making.

The time has come when there is little option other than starting to consider automatic machine learning on an enterprise scale.  Patterns in data can be identified and used to calculate the probability of events in the future.  The prediction can be done in real time applications, such as intensive care monitoring in hospitals.

There seems to be a view that machine learning, pattern matching and prediction is expensive, slow or inaccurate – or all three!  Here is an example that demonstrates otherwise.  A Hackathon produced a prediction of blood sugar level in a diabetic patient in less than a day.  The machine learning algorithms were not meditated by any additional clinical input.

Blood sugar prediction

Blood sugar prediction

Similar techniques could prove invaluable in care of the elderly, early dementia and psychiatric patient monitoring.

This Predictive Monitoring hackathon was held in Singapore.  The UK should be more proactive in supporting such machine learning innovation, or a lead in vital technology could be lost.

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2 Comments »

  1. […] This should encourage UK and EU investment in smart software to help in diagnosis and treatment to improve health outcomes.  There’s big money for those innovators that provide scalable machine learning and prediction.  The Internet of Things is capable of generating more data than can be analysed easily by traditional techniques.  Singapore is doing it. […]

    Pingback by Predictive Healthcare: Innovative growth in USA | Quarkside — 29/05/2013 @ 10:31 pm | Reply

  2. […] learning via neural networks produces impressive results.  The Blood Glucose prediction hackathon used three data streams: historical blood glucose, insulin dosage and carbohydrate consumption. […]

    Pingback by Predictive Monitoring: Heart Attack and Stroke? | Quarkside — 03/06/2013 @ 6:12 am | Reply


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