(For more background, check out our first flowchart on "What is AI?" here.) Machine-learning algorithms use statistics to ... final result in the form of the prediction. Neural networks were ...

As the use of machine learning ... can then investigate where the machine learning pipeline can be improved and, in the context of a chronic disease occurrence prediction task, may decide to ...

That’s good, but is that the most effective approach as diabetes rates continue to soar? Drawing on machine learning for her research ... When Rosella took the risk-prediction algorithm that she and ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

Machine learning, and its subset ... To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared ...

The investigators used machine-learning methods ... among patients with diabetes. Importantly, the WATCH-DM risk score is now available as an online tool for clinicians to use.