Machine Learning Might Help Identify Those Most At Risk of Suicide

Machine Learning Might Help Identify Those Most At Risk of Suicide

Suicide attempts are a leading public health issue worldwide, with an estimated 25 million nonfatal suicide attempts occurring every year. In the United States alone, an average of 120 people die by suicide every day. An integrative team of researchers from Vanderbilt University Medical Center and Florida State University is testing a new – and hopefully more effective way – to identify key risk factors for suicidal behavior.

View Full Post

More great content like this @ Health & Body Front Page or you can Request Invite

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s