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

@inproceedings{Jiang2018DetectingDU,
  title={Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features},
  author={Haihua Jiang and Bin Hu and Zhenyu Liu and Gang Wang and L. C. Zhang and Xiaoyu Li and Huanyu Kang},
  booktitle={Comp. Math. Methods in Medicine},
  year={2018}
}
Early intervention for depression is very important to ease the disease burden, but current diagnostic methods are still limited. [...] Key ResultIt offered encouraging outcomes, revealing a high accuracy level of 75.00% for females and 81.82% for males, as well as an advantageous sensitivity/specificity ratio of 79.25%/70.59% for females and 78.13%/85.29% for males. Expand Abstract

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