Never miss a great news story!
Get instant notifications from Economic Times
AllowNot now


You can switch off notifications anytime using browser settings.
The Economic Times

New machine learning tool can identify suicide risk profiles, factors

suicide-depressed_iStock
The study also confirmed previously-identified risk factors, such as psychiatric disorders and related prescriptions.
BOSTON: In a first, researchers have used machine learning (ML), and health data from the entire Danish population to create sex-specific suicide risk profiles, an advance that may help predict the chances of someone taking their own life.

The researchers, including those from Boston University in the US, used data from the whole population of Denmark, and analysed it with a machine-learning system to identify suicide risk factors.

The study, published in the journal JAMA Psychiatry, found that physical illness and injuries raised the risk of suicide in men, but not in women.

The research also revealed a range of other insights into the complex factors that may increase a person's risk of committing suicide.

"Suicide is incredibly challenging to predict, because every suicide death is the result of multiple interacting risk factors in one's life," said study lead author Jaimie Gradus, an associate professor of epidemiology at Boston University.

The study noted that Denmark has a national health care system with the entire population's clinical information compiled in government registries.

Make Notes, Eat Healthy & Exercise Daily: 7 Ways To Fight Depression

of 8
Next
Prev
Play Slideshow

Combat Depression

10 Oct, 2018
Stress and frustration can lead to depression, further affecting mental health. While it is imperative to consult with a medical professional if symptoms of depression are noticed, certain modification in one's lifestyle can help in combatting mild depression. However, moderate to severe depression requires the treatment with medications. Nevertheless lifestyle changes do help in recovering as well as preventing the condition and future episodes. Dr Pallavi Aravind Joshi, Consultant Psychiatrist of Columbia Asia Hospital Whitefield (Bengaluru) shares 7 tips to combat depression.
Next

Using this, Gradus and his team looked at thousands of factors in the health histories of all 14,103 individuals who died from suicide in the country from 1995 through 2015.

They also assessed the health histories of 2,65,183 other Danes in the same period, using a machine-learning system to look for patterns.

The findings confirmed previously-identified risk factors, such as psychiatric disorders and related prescriptions.

The research team also found new potential risk patterns, including that diagnoses and prescriptions four years before a suicide were more important to prediction than those six months before.

The scientists added that physical health diagnoses were particularly important to men's suicide prediction but not women's.


Say Goodbye To Work Worries: 5 Natural Methods To Beat Stress

of 6
Next
Prev
Play Slideshow

Simple Stress-Buster Hacks

19 Jul, 2018
A recent study by Optum found that 46% of the Indian workforce reports suffering from some form of stress.Don't let your busy and stressful worklife take a toll on you. Excessive stress can have a negative effect on your body, mood, as well as behaviour, ranging from headaches, anxiety, fatigue and irritability.Dr Hariprasad, Ayurveda Expert at The Himalaya Drug Company, shares natural methods to cope with stress:
Next

According to the researchers, this study do not create a model for perfectly predicting suicide in part because medical records rarely include the more immediate experiences like the loss of a job or relationship, which combine with these longer-term factors to precipitate suicide.

Another limitation of the study, they said, is that the risk factors and patterns may also be different outside of Denmark.

Gradus said the findings may, however, point to new factors that can be examined to prevent this persistent public health issue.


Stay on top of business news with The Economic Times App. Download it Now!