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Distinguishing apathy and depression in older adults with mild cognitive impairment using text, audio, and video based on multiclass classification and shapely additive explanations
12 references·0 citing·46 second hop
Distinguishing apathy and depression in older adults with mild cognitive impairment using text, audio, and video based on multiclass classification and shapely additive explanations (2022)Distinguishing apathy and depression in o…Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions (2021)Undisturbed Mental State Asse…Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotion recognition using mul…Automated assessment of psychiatric disorders using speech: A systematic review (2020)Automated assessment of psych…Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System (2019)Predicting Depression, Anxiet…Multi-level Attention Network using Text, Audio and Video for Depression Prediction (2019)Multi-level Attention Network…Acoustic differences between healthy and depressed people: a cross-situation study (2019)Acoustic differences between …Facial geometry and speech analysis for depression detection (2017)Facial geometry and speech an…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…A review of depression and suicide risk assessment using speech analysis (2015)A review of depression and su…Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population (2014)Reliability and validity of t…Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (2007)Screening for Depression in M…Facial Action Coding System (1978)Facial Action Coding SystemThe MOS 36-item short-form health survey (SF-36). 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References

  • 1978Facial Action Coding System6,011 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2014Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population1,505 cited
  • 2007Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis1,290 cited
  • 2015A review of depression and suicide risk assessment using speech analysis1,007 cited
  • 2020Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review804 cited
  • 2020Automated assessment of psychiatric disorders using speech: A systematic review514 cited
  • 2019Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System161 cited
  • 2019Multi-level Attention Network using Text, Audio and Video for Depression Prediction146 cited
  • 2019Acoustic differences between healthy and depressed people: a cross-situation study98 cited
  • 2017Facial geometry and speech analysis for depression detection76 cited
  • 2021Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions48 cited

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