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Predictive Model for Anxiety Disorder

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Observational analysis improves prediction of anxiety disorder in students, highlighting interdisciplinary approaches.

Predictive modeling identifies key predictors of anxiety disorders, enhancing early detection efforts.
Machine learning algorithms utilized for analysis reveal significant factors like academic performance and financial stress.
The study involved a sample of 200 students from Benson Idahosa University, aged 16 to 30 years.
Findings emphasize the vital role of interdisciplinary methods in addressing complex mental health conditions.

Otaren et al. (2024) studied this question.

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View Full Paper

Ask AI

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Authors

Observational analysis improves prediction of anxiety disorder in students, highlighting interdisciplinary approaches.

Predictive modeling identifies key predictors of anxiety disorders, enhancing early detection efforts.
Machine learning algorithms utilized for analysis reveal significant factors like academic performance and financial stress.
The study involved a sample of 200 students from Benson Idahosa University, aged 16 to 30 years.
Findings emphasize the vital role of interdisciplinary methods in addressing complex mental health conditions.

Otaren et al. (2024) studied this question.

View Full Paper

Ask AI

Bookmark