Automatic Depression Assessment using Machine Learning: A Comprehensive Survey | Paper Citation Record

Observation ce241d4f-6b32-4e7e-a325-c9f3d1dd4d0c · outbound

This paper cites Depression in young people,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression in young people,

Reference 1

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Observation 618db548-fcc2-4b67-8601-8a62cf59fd59 · outbound

This paper cites Paral- imbic cortical thickness in first-episode depression: evidence for trait-related differences in mood regulation,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Paral- imbic cortical thickness in first-episode depression: evidence for trait-related differences in mood regulation,

Reference 2

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Observation cc151ca2-8093-4357-b557-6bc252c8bf3f · outbound

This paper cites Im- paired prefrontal–amygdala effective connectivity is responsible for the dysfunction of emotion process in major depressive dis- order: a dynamic causal modeling study on meg,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Im- paired prefrontal–amygdala effective connectivity is responsible for the dysfunction of emotion process in major depressive dis- order: a dynamic causal modeling study on meg,

Reference 3

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Observation cd6d4419-a52a-4117-8dde-d264ee3e37b4 · outbound

This paper cites Processing of facial emo- tion expression in major depression: a review,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Processing of facial emo- tion expression in major depression: a review,

Reference 4

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This paper cites Depression and the risk of coronary heart disease: a meta-analysis of prospective cohort studies,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression and the risk of coronary heart disease: a meta-analysis of prospective cohort studies,

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Observation 114e6699-b728-4dfe-ad0d-ac20943a8cf5 · outbound

This paper cites The increasing burden of depression,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The increasing burden of depression,

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Observation fcd1f59d-f89c-406c-87fe-6bc2513b7025 · outbound

This paper cites Chronic fatigue syndrome and depression: cause, effect, or covariate,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Chronic fatigue syndrome and depression: cause, effect, or covariate,

Reference 7

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Observation 2b9758c6-0b36-4f54-b456-f2b43fe73a2a · outbound

This paper cites Depression and appetite,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression and appetite,

Reference 8

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Observation 7ab8adf7-cce0-4d4a-a727-67db6b3c259e · outbound

This paper cites Insomnia and depression,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Insomnia and depression,

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Observation e676e7bf-00b0-4cda-8f27-d12b06c37bf7 · outbound

This paper cites The diagnosis of depression: current and emerging methods,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The diagnosis of depression: current and emerging methods,

Reference 10

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Observation 885e76dd-e2f1-4dbe-b259-f84e0b926ee5 · outbound

This paper cites A rating scale for depression. journal of neurol- ogy,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey A rating scale for depression. journal of neurol- ogy,

Reference 11

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Observation fea35e8c-ad84-4c2b-9f00-700b6a481fbc · outbound

This paper cites The phq-9: valid- ity of a brief depression severity measure,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The phq-9: valid- ity of a brief depression severity measure,

Reference 12

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Observation 58ad0241-4d17-4854-a79d-738def413eef · outbound

This paper cites Adolescent depression: diagnosis, treatment, and educational attainment,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Adolescent depression: diagnosis, treatment, and educational attainment,

Reference 13

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Observation bdc2824b-e36c-48b5-95ac-329a99e59fdb · outbound

This paper cites Depression gets old fast: do stress and depression accelerate cell aging?.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression gets old fast: do stress and depression accelerate cell aging?

Reference 14

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Observation 69fab345-2f7d-4352-afc4-fafedbad7649 · outbound

This paper cites Depression and obesity: evidence of shared biological mechanisms,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression and obesity: evidence of shared biological mechanisms,

Reference 15

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Observation 59c55522-af6f-460e-a15f-5554eb0d7b02 · outbound

This paper cites Shared biological mechanisms of depression and obesity: focus on adipokines and lipokines,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Shared biological mechanisms of depression and obesity: focus on adipokines and lipokines,

Reference 16

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Observation 09449afc-331f-4d51-85a3-77a1da187adc · outbound

This paper cites Major depression: an illness with objective physical signs,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Major depression: an illness with objective physical signs,

Reference 17

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Observation dfdb2123-0a1a-4559-afec-367b62e54cd3 · outbound

This paper cites A study of the interaction between depressed patients and their spouses,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey A study of the interaction between depressed patients and their spouses,

Reference 18

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Observation fe5f0ce1-2b6e-4574-a5b8-4e20066f40fe · outbound

This paper cites From emotions to mood disorders: A survey on gait analysis methodology,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey From emotions to mood disorders: A survey on gait analysis methodology,

Reference 19

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Observation 2bce2f39-9e0d-4438-a307-ed442b1ad25f · outbound

This paper cites Reading between the frames: Multi- modal depression detection in videos from non-verbal cues,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Reading between the frames: Multi- modal depression detection in videos from non-verbal cues,

Reference 20

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Observation aa3cbfa2-1dc8-4dda-bf1e-cc343c5ffa58 · outbound

This paper cites Mea- suring the rate of change of voice fundamental frequency in fluent speech during mental depression,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Mea- suring the rate of change of voice fundamental frequency in fluent speech during mental depression,

Reference 21

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Observation 42667e1e-930c-4437-aba2-7d69681bd7f8 · outbound

This paper cites Linguistic in- quiry and word count: Liwc 2001,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Linguistic in- quiry and word count: Liwc 2001,

Reference 22

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This paper cites Vocal indicators of psychological stress,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Vocal indicators of psychological stress,

Reference 23

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Observation db9403ad-bf7b-4817-8e62-500da39edc9f · outbound

This paper cites Ensemble cca for continuous emotion prediction,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Ensemble cca for continuous emotion prediction,

Reference 24

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Observation 27f04710-2634-425e-9192-60fc906125bf · outbound

This paper cites Depression assessment by fusing high and low level features from audio, video, and text,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression assessment by fusing high and low level features from audio, video, and text,

Reference 25

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Observation a9fabc5a-4f2a-40f1-bd39-3ef8541d8b51 · outbound

This paper cites End-to-end mul- timodal clinical depression recognition using deep neural networks: A comparative analysis,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey End-to-end mul- timodal clinical depression recognition using deep neural networks: A comparative analysis,

Reference 26

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Observation 3ec7b258-aae3-4029-af77-c0c59fcf171e · outbound

This paper cites Hique: Hierarchical question embedding network for multimodal depression detec- tion,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Hique: Hierarchical question embedding network for multimodal depression detec- tion,

Reference 27

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Observation aa3a3fd2-ab74-4c8a-94bf-bda4e3acab6f · outbound

This paper cites Two- stage temporal modelling framework for video-based depression recognition using graph representation,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Two- stage temporal modelling framework for video-based depression recognition using graph representation,

Reference 28

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This paper cites Multimodal spatiotemporal representation for automatic depression level de- tection,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Multimodal spatiotemporal representation for automatic depression level de- tection,

Reference 29

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Observation a2c9cea2-ba18-4bed-9e0f-384ab75627e6 · outbound

This paper cites Depression detection from social media posts using emotion aware encoders and fuzzy based contrastive networks,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression detection from social media posts using emotion aware encoders and fuzzy based contrastive networks,

Reference 30

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This paper cites Dep-former: Multimodal depression recognition based on facial expressions and audio features via emotional changes,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Dep-former: Multimodal depression recognition based on facial expressions and audio features via emotional changes,

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Observation 80648e0b-5bc7-417d-ae14-809ec2d8873f · outbound

This paper cites A mul- timodal fusion model with multi-level attention mechanism for depression detection,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey A mul- timodal fusion model with multi-level attention mechanism for depression detection,

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This paper cites Explainable depression detection via head motion patterns,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Explainable depression detection via head motion patterns,

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This paper cites Statistical, spectral and graph representations for video-based facial expression recogni- tion in children,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Statistical, spectral and graph representations for video-based facial expression recogni- tion in children,

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This paper cites Integrat- ing deep facial priors into landmarks for privacy preserving mul- timodal depression recognition,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Integrat- ing deep facial priors into landmarks for privacy preserving mul- timodal depression recognition,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Topic modeling based multi-modal depression detection,

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This paper cites Multimodal fusion of bert-cnn and gated cnn representations for depression detection,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Multimodal fusion of bert-cnn and gated cnn representations for depression detection,

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This paper cites Facialpulse: An efficient rnn-based de- pression detection via temporal facial landmarks,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Facialpulse: An efficient rnn-based de- pression detection via temporal facial landmarks,

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This paper cites Social risk and depression: Evidence from manual and automatic facial expression analysis,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Social risk and depression: Evidence from manual and automatic facial expression analysis,

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This paper cites Cnn depression severity level estimation from upper body vs. face-only images,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Cnn depression severity level estimation from upper body vs. face-only images,

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This paper cites Lqgdnet: A local quaternion and global deep network for facial depression recognition,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Lqgdnet: A local quaternion and global deep network for facial depression recognition,

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This paper cites Spectral repre- sentation of behaviour primitives for depression analysis,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Spectral repre- sentation of behaviour primitives for depression analysis,

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This paper cites Mdn: A deep maximization-differentiation network for spatio-temporal de- pression detection,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Mdn: A deep maximization-differentiation network for spatio-temporal de- pression detection,

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This paper cites A novel eeg-based graph convolution network for depression detection: incorporating secondary subject partitioning and attention mech- anism,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey A novel eeg-based graph convolution network for depression detection: incorporating secondary subject partitioning and attention mech- anism,

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This paper cites Depression recognition from eeg signals using an adaptive channel fusion method via improved focal loss,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression recognition from eeg signals using an adaptive channel fusion method via improved focal loss,

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This paper cites Convolutional neural network– based deep learning model for predicting differential suicidality in depressive patients using brain generalized q-sampling imag- ing,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Convolutional neural network– based deep learning model for predicting differential suicidality in depressive patients using brain generalized q-sampling imag- ing,

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This paper cites Classification of major depressive disorder using an attention-guided unified deep convolutional neural network and individual structural covariance network,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Classification of major depressive disorder using an attention-guided unified deep convolutional neural network and individual structural covariance network,

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This paper cites Depression detection from smri and rs-fmri images using machine learning,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression detection from smri and rs-fmri images using machine learning,

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This paper cites Depression detection based on deep distribution learning,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression detection based on deep distribution learning,

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This paper cites Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from eeg signal,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from eeg signal,

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This paper cites Deprnet: A deep convolution neural network frame- work for detecting depression using eeg,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Deprnet: A deep convolution neural network frame- work for detecting depression using eeg,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depcap: a smart healthcare framework for eeg based depres- sion detection using time-frequency response and deep neural network,

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This paper cites Achieving eeg- based depression recognition using decentralized-centralized structure,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Achieving eeg- based depression recognition using decentralized-centralized structure,

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This paper cites Gctnet: a graph convolutional transformer network for major depressive disorder detection based on eeg signals,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Gctnet: a graph convolutional transformer network for major depressive disorder detection based on eeg signals,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Mast-gcn: Multi-scale adaptive spatial-temporal graph convolutional network for eeg- based depression recognition,

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Observation 24db5a63-857b-4721-8d98-84c1b27b7e31 · outbound

This paper cites Gcns–fsmi: Eeg recognition of mental illness based on fine-grained signal features and graph mutual information maximization,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Gcns–fsmi: Eeg recognition of mental illness based on fine-grained signal features and graph mutual information maximization,

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This paper cites Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fmri data,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fmri data,

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This paper cites The classification of brain network for major depressive disorder patients based on deep graph con- volutional neural network,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The classification of brain network for major depressive disorder patients based on deep graph con- volutional neural network,

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This paper cites Avec 2013: the continuous audio/visual emotion and depression recognition challenge,.

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Avec 2013: the continuous audio/visual emotion and depression recognition challenge,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Avec 2014: 3d dimensional affect and depression recognition challenge,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Avec 2016: Depression, mood, and emotion recognition workshop and challenge,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Avec 2017: Real-life depression, and affect recognition workshop and challenge,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Avec 2019 workshop and challenge: State-of-mind, detecting depression with ai, and cross-cultural affect recognition,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The distress analysis interview corpus of human and computer interviews

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Semi-structural interview-based chinese multimodal de- pression corpus towards automatic preliminary screening of de- pressive disorders,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Dynamic multi- modal measurement of depression severity using deep autoen- coding,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Look- ing at the body: Automatic analysis of body gestures and self-adaptors in psychological distress,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey D-vlog: Multimodal vlog dataset for depression detection,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Automatic depression detec- tion: An emotional audio-textual corpus and a gru/bilstm-based model,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey A multi-modal open dataset for mental- disorder analysis,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Machine learning in major depression: From classification to treatment outcome prediction,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Deep learning for depres- sion recognition with audiovisual cues: A review,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Machine learning algorithms for depression: diagnosis, insights, and research directions,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Auto- matic depression recognition by intelligent speech signal pro- cessing: A systematic survey,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Can’t shake that feeling: event-related fmri assessment of sustained amygdala activity in response to emotional infor- mation in depressed individuals,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the granger causality analysis,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Neuroplastic changes in depression: a role for the immune system,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Illness, cytokines, and depression,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The association of depres- sion and anxiety with medical symptom burden in patients with chronic medical illness,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depressive behavior and vascular dysfunction: a link between clinical depression and vascular disease?

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Early and late-onset effect of chronic stress on vascular function in mice: a possible model of the impact of depression on vascular disease in aging,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Stress, depression and parkinson’s disease,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Stress, de- pression, the immune system, and cancer,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Biobehavioral, immune, and health benefits following recurrence for psycholog- ical intervention participants,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression as a predictor of disease progression and mortality in cancer patients: a meta-analysis,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Prevention of suicidal behavior,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Predictors of suicidal ideation, suicide attempt and suicide death among people with major depressive disorder: A systematic review and meta-analysis of cohort studies,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Problematic interpersonal relation- ships at work and depression: a swedish prospective cohort study,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey The social cost of depression: Investigating the impact of impaired social emotion regulation, social cognition, and interpersonal behavior on social function- ing,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Depression- related psychosocial variables: Are they specific to depression in adolescents?

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Links between depression and substance abuse in adolescents: neurobiological mechanisms,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Eeg alpha asymmetry, depression, and cognitive functioning,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Neurophysiological correlates of depressive symp- toms in young adults: a quantitative eeg study,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Altered brain dynamics and their ability for major depression detection using eeg microstates analysis,

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Automatic Depression Assessment using Machine Learning: A Comprehensive Survey Sex differences in diencephalon serotonin transporter availability in major depression,

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