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Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features

Research article (Computational and Mathematical Methods in Medicine, 2018) · cited 102× · AI/ML
academia openalex:W2893536541
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Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features

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Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features is a scholarly article[1].

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  • Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-depression-using-an-ensemble-logistic-regression-model-based-on-multiple-speech-features
MLA “Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-depression-using-an-ensemble-logistic-regression-model-based-on-multiple-speech-features.
BibTeX @misc{4ortxyz_detecting-depression-using-an-ensemble-logistic-regression-model-based-on-multiple-speech-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-depression-using-an-ensemble-logistic-regression-model-based-on-multiple-speech-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features — https://4ort.xyz/entity/detecting-depression-using-an-ensemble-logistic-regression-model-based-on-multiple-speech-features (retrieved 2026-05-24)

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