# Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/electroencephalography-based-depression-detection-using-multiple-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amel Ksibi,Mohammed Zakariah,Leila Jamel,Oumaima Saidani,Latifah Almuqren,Rosy Awny Mohamed Hanafieh |
| Citations | 84 |
| DOI | 10.3390/diagnostics13101779 |
| Fields | Neuroscience,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/13/10/1779/pdf?version=1684382439 |
| OpenAlex ID | https://openalex.org/W4377021644 |
| PMID | 37238263 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mohammed Zakariah](https://scholariq.org/researchers/mohammed-zakariah/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.