This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria. The five ...

The accuracy of five machine learning algorithms in detecting mental health disorders was examined in this research. Logistic regression, K-NN classifier, ...

This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria. The five ...

26 июл. 2024 г. · This study aims to investigate the potential of machine learning in predicting mental health conditions among college students by analyzing ...

This paper focuses on forecasting mental health using deep learning approaches and machine learning algorithm that is support vector machine. Support vector ...

5 янв. 2022 г. · A machine learning algorithm is developed to predict the clinical remission from a 12-week course of citalopram [27]. Data are collected from ... Background · Results · Critical Analysis and Discussion

This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria and ...

4 дня назад · Leveraging vast amounts of data, machine learning algorithms are increasingly being applied to predict mental health crises. This predictive ...

Predicting Mental Health through Machine Learning Algorithms · Dataset Description · Pre-processing is the method of applying changes to our data.

This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria. The five ...