A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.

Çelik Ertuğrul D, Çelik Ulusoy D

Open source

DOI
10.1111/exsy.12716
Published
2022 Mar
Container
Expert systems
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1111/exsy.12716,
  title = {A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.},
  author = {Çelik Ertuğrul D and Çelik Ulusoy D},
  year = {2022},
  journal = {Expert systems},
  doi = {10.1111/exsy.12716},
  url = {https://doi.org/10.1111/exsy.12716}
}

RIS

TY  - JOUR
TI  - A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.
AU  - Çelik Ertuğrul D
AU  - Çelik Ulusoy D
PY  - 2022
JO  - Expert systems
DO  - 10.1111/exsy.12716
UR  - https://doi.org/10.1111/exsy.12716
ER  - 

APA

D, Ç. E., & D, Ç. U. (2022). A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.. Expert systems. https://doi.org/10.1111/exsy.12716

Source records