Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach.

Ahne A, Khetan V, Tannier X, Rizvi MIH, Czernichow T, Orchard F, Bour C, Fano A, Fagherazzi G

Open source

DOI
10.2196/37201
Published
2022 Jul 19
Container
JMIR medical informatics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/37201,
  title = {Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach.},
  author = {Ahne A and Khetan V and Tannier X and Rizvi MIH and Czernichow T and Orchard F and Bour C and Fano A and Fagherazzi G},
  year = {2022},
  journal = {JMIR medical informatics},
  doi = {10.2196/37201},
  url = {https://doi.org/10.2196/37201}
}

RIS

TY  - JOUR
TI  - Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach.
AU  - Ahne A
AU  - Khetan V
AU  - Tannier X
AU  - Rizvi MIH
AU  - Czernichow T
AU  - Orchard F
AU  - Bour C
AU  - Fano A
AU  - Fagherazzi G
PY  - 2022
JO  - JMIR medical informatics
DO  - 10.2196/37201
UR  - https://doi.org/10.2196/37201
ER  - 

APA

A, A., V, K., X, T., MIH, R., T, C., F, O., C, B., A, F., & G, F. (2022). Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach.. JMIR medical informatics. https://doi.org/10.2196/37201

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