Comparison of machine learning models for early depression detection from users’ posts
(2022)
Book Chapter
Mothe, J., Ramiandrisoa, F., & Ullah, M. Z. (2022). Comparison of machine learning models for early depression detection from users’ posts. In F. Crestani, D. E. Losada, & J. Parapar (Eds.), Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project (111-139). Springer. https://doi.org/10.1007/978-3-031-04431-1_5
With around 300 millions people worldwide suffering from depression, the detection of this disorder is crucial and a challenge for individual and public health. As with many diseases, early detection means better medical management; the use of social... Read More about Comparison of machine learning models for early depression detection from users’ posts.