Simple algorithms can reduce suicide risk as well as complex AI

Artificial intelligence algorithms aimed at reducing suicide risk appear to work, even when they employ simpler methods, according to a report from Kaiser Permanente, the FDA and other institutions.

The report, which was published March 23 in Nature, accounted for 26 million mental health visits made by more than 3 million people. The associated data was fed through algorithms of varying complexity, and the simpler ones performed nearly as well as those that were more complex.

The findings could spell good news for organizations with limited resources, since simpler algorithms are easier to write, and are less likely to bog down computer systems.

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