The researchers found that machine learning – the science of getting computers to learn over time without human intervention – is as accurate as a team of child and adolescent psychiatrists, including a forensic psychiatrist, in determining risk for school violence.
“Previous violent behavior, impulsivity, school problems and negative attitudes were correlated with risk to others,” says Drew Barzman, MD, a child forensic psychiatrist at Cincinnati Children’s Hospital Medical Center and lead author of the study. “Our risk assessments were focused on predicting any type of physical aggression at school. We did not gather outcome data to assess whether machine learning could actually help prevent school violence. That is our next goal.”
The study is published online in the journal Psychiatric Quarterly.
Barzman and his colleagues evaluated 103 teenage students in 74 traditional schools throughout the United States who had a major or minor behavioral change or aggression toward themselves or others. The students were recruited from psychiatry outpatient clinics, inpatient units and emergency departments.
The team performed school risk evaluations with participants. Audio recordings from the evaluations were transcribed and manually annotated. The students, as it turned out, were relatively equally divided between moderate- to high-risk, and low-risk, according to two scales that the team developed and validated in previous research.
There were significant differences in total scores between the high-risk and low-risk groups. The machine learning algorithm that the researchers developed achieved an accuracy rate of 91.02 percent, considered excellent, when using interview content to predict risk of school violence. The rate increased to 91.45 percent when demographic and socioeconomic data were added.
“The machine learning algorithm, based only on the participant’s interview, was almost as accurate in assessing risk levels as a full assessment by our research team, including gathering information from parents and the school, a review of records when available, and scoring on the two scales we developed,” says Yizhao Ni, PhD, a computational scientist in the Division of Biomedical Informatics at Cincinnati Children’s and co-author of the study.
“Our ultimate goal, should research support it, is to spread the use of the machine learning technology to schools in the future to augment structures, professional judgment to more efficiently and effectively prevent school violence, adds Barzman.”
Learn more: Pilot Study Validates Artificial Intelligence to Help Predict School Violence
The Latest on: Artificial intelligence prediction
[google_news title=”” keyword=”artificial intelligence prediction” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Artificial intelligence prediction
- New tool leverages AI to predict suicidal thoughts and behaviorson May 10, 2024 at 12:24 am
A new assessment tool that leverages powerful artificial intelligence was able to predict whether participants exhibited suicidal thoughts and behaviors using a quick and simple combination of ...
- Agentic Artificial Intelligence: Looking Ahead to Potential Practical and Legal Issues When AI Gets Autonomouson May 8, 2024 at 5:00 pm
With agentic AI technology mostly still in development, it is impossible to completely predict the myriad of legal issues that will follow, but our two-part article will examine a few. In December ...
- Colorado Legislature Passes First-in-Nation Artificial Intelligence Billon May 8, 2024 at 5:00 pm
An artificial intelligence system is defined as “any machine-based system that, for any explicit or implicit objective, infers from the inputs the system receives how to generate outputs, including ...
- Artificial Intelligence And Human Expertise In Graphic Designon May 8, 2024 at 4:15 am
Technology has long been a key part of graphic design, but modern AI-powered tools are going beyond traditional tools by leaps and bounds.
- Artificial intelligence in banking has strong adoption by “data-first” FIson May 8, 2024 at 12:30 am
In the rapidly evolving world of digital banking, the financial services industry stands at the cusp of a revolution, powered by Artificial Intelligence ...
- Prediction: 1 Artificial Intelligence Stock That Could Be Worth More Than Nvidia 1 Year From Nowon May 7, 2024 at 5:41 am
The artificial intelligence (AI) race is on, and it has a wide reach. Nvidia is the talk of the town as the stock has enjoyed an incredible rise, about 220% over the last year and 440% over three ...
- Prediction: 1 Artificial Intelligence Stock That Could Be Worth More Than Nvidia 1 Year From Nowon May 7, 2024 at 5:17 am
Nvidia is the talk of the town as the stock has enjoyed an incredible rise, about 220% over the last year and 440% over three years. As shown below, the market cap eclipsed $2 trillion and overtook ...
- Prediction: 1 Artificial Intelligence Stock That Could Be Worth More Than Nvidia 1 Year From Nowon May 7, 2024 at 1:17 am
The artificial intelligence (AI) race is on, and it has a wide reach. Software companies (like Palantir Technologies and CrowdStrike) are developing programs that use AI to analyze data ...
- An AI model to reduce uncertainty in evapotranspiration predictionon April 30, 2024 at 12:37 pm
When scientists look at the Earth's available water for ecosystem services, they don't just look at precipitation. They must also account for water moving from the ground to the atmosphere, a process ...
via Bing News