A new study conducted by researchers from Northeastern University in Boston has found that analyzing changes in peripheral physiology using machine learning can predict impending aggressive behaviors in hospitalized youth with autism. The study, published in JAMA Network Open, utilized data obtained from 70 psychiatric patients with confirmed autism diagnoses. During the study, participants wore a biosensor that recorded physiological signals while naturalistic observations were conducted to document aggressive behavior. Logistic regression was found to be the most effective classifier in predicting aggressive behavior.
Scientists believe that their findings can serve as a basis for developing mobile health intervention systems tailored to the individual needs of these patients. Such systems could enable preventative interventions, ultimately leading to a reduction in the unpredictability of aggressive behavior. By addressing aggression-related challenges, the research program aims to increase the participation of youth with autism in their homes, schools, and communities.
Unlike the original article, which focused on the study details and its results, this article presents the key information in a more general and accessible manner. It highlights the potential impact of machine learning in predicting aggressive behavior in individuals with autism, drawing attention to intervention possibilities and improving quality of life.
FAQ:
Q: What is machine learning?
A: Machine learning is a field of artificial intelligence that involves developing algorithms and techniques that enable computers to learn autonomously from data.
Q: What are the benefits of developing mobile health intervention systems?
A: Developing mobile health intervention systems can enable the provision of personalized healthcare services tailored to the specific needs of patients, leading to better treatment and improved quality of life.
Source: https://www.jamanetwork.com/journals/jamanetworkopen
The source of the article is from the blog coletivometranca.com.br