Detection of Depression and Scaling of Severity Using Six Channel EEG Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Systems"
DOI: 10.1007/s10916-020-01573-y
Abstract: Depression is a psychiatric problem which affects the growth of a person, like how a person thinks, feels and behaves. The major reason behind wrong diagnosis of depression is absence of any laboratory test for… read more here.
Keywords: detection depression; depression; detection; severity scaling ... See more keywords
Detection of Depression-Related Posts in Reddit Social Media Forum
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2909180
Abstract: Depression is viewed as the largest contributor to global disability and a major reason for suicide. It has an impact on the language usage reflected in the written text. The key objective of our study… read more here.
Keywords: detection depression; related posts; posts reddit; depression related ... See more keywords
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2885515
Abstract: Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not treated for various reasons. Previous studies have… read more here.
Keywords: mml; mml mml; detection depression; early detection ... See more keywords
Under detection of depression in primary care settings in low and middle-income countries: a systematic review and meta-analysis
Sign Up to like & getrecommendations! Published in 2022 at "Systematic Reviews"
DOI: 10.1186/s13643-022-01893-9
Abstract: Background Depression is one of the commonest mental disorders in primary care but is poorly identified. The objective of this review was to determine the level of detection of depression by primary care clinicians and… read more here.
Keywords: review; detection depression; primary care; detection ... See more keywords
Early detection of depression using a conversational AI bot: A non-clinical trial
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DOI: 10.1371/journal.pone.0279743
Abstract: Background Artificial intelligence (AI) has gained momentum in behavioural health interventions in recent years. However, a limited number of studies use or apply such methodologies in the early detection of depression. A large population needing… read more here.
Keywords: depression; detection; detection depression; clinical trial ... See more keywords
Automatic Detection of Depression by Using a Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-880-8-3
Abstract: Depression is the most common psychiatric disorder worldwide, which affects more than 300 million people. We aimed to detect depressed patients and healthy people automatically. We work on the PHQ-9 questionnaires and reduced it to… read more here.
Keywords: detection depression; neural network; depression; automatic detection ... See more keywords
Detection of Depression-Related Tweets in Mexico Using Crosslingual Schemes and Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2023 at "Healthcare"
DOI: 10.3390/healthcare11071057
Abstract: Mental health problems are one of the various ills that afflict the world’s population. Early diagnosis and medical care are public health problems addressed from various perspectives. Among the mental illnesses that most afflict the… read more here.
Keywords: methodology; diagnosis; depression related; language ... See more keywords