Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning
Liang L, Wang Y, Ma H, Zhang R, Liu R, Zhu R, Zheng Z, Zhang X, Wang F. Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning. Frontiers In Psychiatry 2024, 15: 1422020. PMID: 39355380, PMCID: PMC11442283, DOI: 10.3389/fpsyt.2024.1422020.Peer-Reviewed Original ResearchVocal acoustic featuresHealthy control groupSeverity of depressive symptomsTotal depression scoreAcoustic featuresClassification accuracyMDD groupDepressive disorderAnxiety comorbiditiesDepression prediction modelDeep learning methodsDepressive symptomsDepression scoresHC groupSpeech characteristicsMean Absolute Error(MAEDepressionNeural networkEnhanced classificationControl groupLearning methodsMachine learningClassification modelOpen-source algorithmAbsolute error(MAEDigital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation
Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health And Surveillance 2024, 10: e47428. PMID: 38648087, PMCID: PMC11074900, DOI: 10.2196/47428.Peer-Reviewed Original ResearchConceptsModerate-severe depressionDietary behaviorsMultivariate logistic regression analysisDepression severityMild depressionIrregular eating patternsLogistic regression analysisDetect depressionDinner patternEating breakfastMeal patternsEating patternsDaily lunchSelf-reported dataSupport vector machine analysisBehavior monitoringNaturalistic settingsVector machine analysisFood choicesDepressionProfile of changesBehavioral dataPrediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study
Lin Z, Zheng J, Wang Y, Su Z, Zhu R, Liu R, Wei Y, Zhang X, Wang F. Prediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study. BMC Psychiatry 2024, 24: 187. PMID: 38448895, PMCID: PMC10916138, DOI: 10.1186/s12888-024-05638-x.Peer-Reviewed Original ResearchConceptsGroup cognitive behavioral therapyWait-list controlCognitive behavioral therapyBehavioral therapyEfficacy of group cognitive behavioral therapyGroup cognitive behavioural therapy groupDisabling mental health problemPredictors of treatment responseAssociated with greater improvementTreatment outcomesAssociated with depressionHigher heart rate variabilityMental health problemsHeart rate variabilityAnxious symptomsAnxiety symptomsParticipants' symptomsCollege studentsHRV levelsAnxietyTrial registrationThe trialSignificant public health concernDepressionGreater improvementHeart rate variability parameters