Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

Tung C, Lu W

Open source

DOI
10.1016/j.artmed.2015.10.003
Published
2016 Jan
Container
Artificial intelligence in medicine
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.artmed.2015.10.003,
  title = {Analyzing depression tendency of web posts using an event-driven depression tendency warning model.},
  author = {Tung C and Lu W},
  year = {2016},
  journal = {Artificial intelligence in medicine},
  doi = {10.1016/j.artmed.2015.10.003},
  url = {https://doi.org/10.1016/j.artmed.2015.10.003}
}

RIS

TY  - JOUR
TI  - Analyzing depression tendency of web posts using an event-driven depression tendency warning model.
AU  - Tung C
AU  - Lu W
PY  - 2016
JO  - Artificial intelligence in medicine
DO  - 10.1016/j.artmed.2015.10.003
UR  - https://doi.org/10.1016/j.artmed.2015.10.003
ER  - 

APA

C, T., & W, L. (2016). Analyzing depression tendency of web posts using an event-driven depression tendency warning model.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2015.10.003

Source records