Mental illnesses have become a modern day epidemic as many young people have succumbed to the various psychological challenges that they face every day. Some mental illnesses, like depression, are difficult to detect in people who suffer from it as a happy face can very easily hide what they are going through mentally and emotionally.
Now, diagnosing mental illnesses might just be a little easier as new preliminary research done in America could potentially detect conditions such as depression and diabetes using Facebook!
Yes, you heard that right.
According to Star2, researchers at the University of Pennsylvania and Stony Brook University carried out a new study that analysed the full Facebook post history of 999 patients, which totalled up to about 20 million words! That’s a lot of words to analyse!
These patients agreed to have their Facebook profiles linked to their electronic medical record data.
The study looked into how Facebook posts could predict medical conditions across 21 broad categories using three different models that the researchers built.
Model 1: Analysed the language used in patients’ Facebook posts
Model 2: Analysed patients’ demographics like age and gender
Model 3: Analysed data from Model 1 and Model 2 combined
In the results that were published in the journal PLOS ONE, all 21 medical conditions that were analysed in the study could be predicted just by Facebook posts alone. Wow!
What’s even more surprising is that the data gathered from Facebook was better able to predict 10 of the medical conditions than the demographic data. This includes illnesses like anxiety, depression, psychoses and even diabetes.
The researchers went about this study by using certain keywords on Facebook that were fairly intuitive at predicting certain diseases. For instance, words like “drink” and “bottle” were revealed to predict alcohol abuse in patients. However, other links between words and diseases showed less of a prediction.
For example, patients who posted on Facebook using religious words like “God” or “Pray” were 15 times more likely to have diabetes than those who used those words the least, while words like “dumb” and certain swear words were linked to drug abuse and psychoses.
Study senior author Dr Andrew Schwartz said, “Our digital language captures powerful aspects of our lives that are likely quite different from what is captured through traditional medical data.”.
“Many studies have now shown a link between language patterns and specific diseases, such as language predictive of depression or language that gives insights into whether someone is living with cancer.”
“However, by looking across many medical conditions, we get a view of how conditions relate to each other, which can enable new applications of AI (artificial intelligence) for medicine.”
Dr Raina Merchant, study lead author, explained that although this study is still in its beginning stages, she hopes that the insights gleaned from these posts can be used to better inform patients and providers about their health.
“As social media posts are often about someone’s lifestyle choices and experiences, or how they’re feeling, this information could provide additional information about disease management and exacerbation,” she said.
What do you think of this new study? Are Facebook posts good enough to be able to diagnose such serious mental diseases? Let us know in the comments below!
Grab the Chance to Win a FREE Family Trip to Iceland By Just Doing This!
Do you know what’s better than a family holiday to Europe? A FREE European family vacation of course! We’re not...
Think There’s Nothing to Do in Laos? Think Again! Here Are 6 Places That Will INSTANTLY Change Your Mind
Out of all our Southeast Asian neighbours, Laos has got to be one of the most underrated countries in terms...
From 21st Nov – 1st Dec, You Can Get Ice-Cream For RM3 At These Inside Scoop Locations
Hear ye, hear ye, Inside Scoop is back with another promotion! To celebrate their sixth birthday, you can get a...
Netizen Doubts Man is Sabahan, Hilariously Says He Looks Malaysian Instead
Netizens Rage When 7 Boys Who Allegedly Raped a 14yo Girl at School Are Allowed Bail to Take SPM
Update: The Green Dog was Not Abused, He Only Rolled Over Green Powder at A Dumpsite
Kedah Volunteer Told To Stop Assisting Malay Accident Victim Because He’s Not Malay
19yo Teenager Gives Birth To Baby Boy In Night Club, Baby Gets Free Entry For Life
M’sian Woman Left At A Mamak Stall First Date Because She Was ‘Fatter Than in Pictures’
- Heartbreaking1 day ago
25yo M’sian Man Dies of Heart Attack After Futsal, His Wife Couldn’t Make it in Time to See Him
- Uncategorized1 day ago
M’sian Man Couldn’t Join His Bros Trip To Australia, So They Brought His Face With Them!
- Viral1 day ago
Poacher In Kelantan Nabbed For Allegedly Shooting & Slaughtering An Elephant To Get Its Tusks
- Inspiring1 day ago
Watch: Friends Serenade Broken-Hearted Bro To Cheer Him Up After A Break Up
- Viral1 day ago
Video: Cyberjaya Parents Managed To Stop An Adopted Child From Being Kidnapped By His Alleged Real Mother
- Viral1 day ago
Foreign Driver With No Licence Arrested When He Tried To Bribe Honest Policemen
- Viral1 day ago
Australians Sing Getaran Jiwa Flawlessly, Could Be The Most Beautiful Rendition Thus Far!
- Funny1 day ago
Are You Obsessed with Your Pets? You Can Now Make Slippers That Look Exactly Like Them!