Depression prediction using machine learning: a review
Predicting depression can mitigate tragedies. Numerous works have been proposed so far using machine learning algorithms. This paper reviews publications from online electronic databases from 2016 to 2020 that use machine learning techniques to predict depression. The aim of this study is to identif...
Saved in:
Main Authors: | Abdul Rahimapandi, Hanis Diyana, Maskat, Ruhaila, Musa, Ramli, Ardi, Norizah |
---|---|
Format: | Article |
Language: | English |
Published: |
Intelektual Pustaka Media Utama
2022
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/97159/3/97159_Depression%20prediction%20using%20machine%20learning%20a%20review.pdf http://irep.iium.edu.my/97159/ http://ijai.iaescore.com |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Psychometric properties of depression anxiety stress scale 21-item (DASS-21) Malay version among a big sample population
by: Musa, Ramli, et al.
Published: (2020) -
Analysing depression using DASS-21 scale among diabetes in Malaysia
by: Mohd Ali, Salmiah, et al.
Published: (2009) -
Stress, anxiety and depressive levels among Mothers of ADHD children and their relationships with ADHD symptoms
by: Musa, Ramli, et al.
Published: (2008) -
Dealing with depression
by: Ng, Alvin Lai Oon *
Published: (2022) -
Influence of depression, anxiety and stress on the quality of life of dialysis patients
by: Musa, Ramli, et al.
Published: (2014)