Depression recognition using machine learning methods with different feature generation strategies.
- DOI
- 10.1016/j.artmed.2019.07.004
- Published
- 2019 Aug
- Container
- Artificial intelligence in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2019.07.004,
title = {Depression recognition using machine learning methods with different feature generation strategies.},
author = {Li X and Zhang X and Zhu J and Mao W and Sun S and Wang Z and Xia C and Hu B},
year = {2019},
journal = {Artificial intelligence in medicine},
doi = {10.1016/j.artmed.2019.07.004},
url = {https://doi.org/10.1016/j.artmed.2019.07.004}
}RIS
TY - JOUR TI - Depression recognition using machine learning methods with different feature generation strategies. AU - Li X AU - Zhang X AU - Zhu J AU - Mao W AU - Sun S AU - Wang Z AU - Xia C AU - Hu B PY - 2019 JO - Artificial intelligence in medicine DO - 10.1016/j.artmed.2019.07.004 UR - https://doi.org/10.1016/j.artmed.2019.07.004 ER -
APA
X, L., X, Z., J, Z., W, M., S, S., Z, W., C, X., & B, H. (2019). Depression recognition using machine learning methods with different feature generation strategies.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2019.07.004
Source records
- pubmed · retrieved 2026-09-26T21:03:49.381Z