Stroke rehabilitation has long depended on a fundamentally flawed measurement system: a clinician watching a patient move for ...

A Diagnostic Cost Group (DCG) machine learning algorithm succeeded in generating risk adjustment models and predicted healthcare spending better than the current HHS hierarchical condition category ...

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Your immune system harbors a lifetime's worth of information about threats it's encountered - a biological Rolodex of baddies. Often the perpetrators are viruses and bacteria you've conquered; others ...