ArticleInternational journal of environmental research and public health2021
A Convenient and Low-Cost Model of Depression Screening and Early Warning Based on Voice Data Using for Public Mental Health.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Multi-Scale Spatiotemporal Graph Neural Network Using Brain Partitioning for Major Depressive Disorder Detection.Sensors (Basel, Switzerland) · 2026Article
- ML-based detection of depressive profile through voice analysis in WhatsApp™ audio messages of Brazilian Portuguese Speakers.PLOS mental health · 2026Article
- Exploring Acoustic Correlates of Depression and Preliminary Screening Models Using XGBoost and SHAP.Behavioral sciences (Basel, Switzerland) · 2025Article
- A Novel Demographic Indicator Fusion Network (DIFNet) for Dynamic Fusion of EEG and Demographic Indicators for Robust Depression Detection.Sensors (Basel, Switzerland) · 2025Article
- Integrating Cortical Source Reconstruction and Adversarial Learning for EEG Classification.Sensors (Basel, Switzerland) · 2025Article
- Early detection of mental health disorders using machine learning models using behavioral and voice data analysis.Scientific reports · 2025Article
- An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection.Scientific reports · 2024Article
- Multimodal Fusion of EEG and Audio Spectrogram for Major Depressive Disorder Recognition Using Modified DenseNet121.Brain sciences · 2024Article
- Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023.Heliyon · 2024Review
- Exploring a multimodal approach for utilizing digital biomarkers for childhood mental health screening.Frontiers in psychiatry · 2024Article
- Effects of Temporary Respiration Exercise with Individual Harmonic Frequency on Blood Pressure and Autonomic Balance.International journal of environmental research and public health · 2022Article
- Design and Preliminary Realization of a Screening and Early Warning Health Management System for Populations at High Risk for Depression.International journal of environmental research and public health · 2022Article
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2 authors.
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Abstract
Depression is a common mental health disease, which has great harm to public health. At present, the diagnosis of depression mainly depends on the interviews between doctors and patients, which is subjective, slow and expensive. Voice data are a kind of data that are easy to obtain and have the advantage of low cost. It has been proved that it can be used in the diagnosis of depression. The voice data used for modeling in this study adopted the authoritative public data set, which had passed the ethical review. The features of voice data were extracted by Python programming, and the voice features were stored in the format of CSV files. Through data processing, a big database, containing 1479 voice feature samples, was generated for modeling. Then, the decision tree screening model of depression was established by 10-fold cross validation and algorithm selection. The experiment achieved 83.4% prediction accuracy on voice data set. According to the prediction results of the model, the patients can be given early warning and intervention in time, so as to realize the health management of personal depression.
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