Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing.

Luschi A, Nesi P, Iadanza E

Open source

DOI
10.1016/j.heliyon.2023.e21723
Published
2023 Nov
Container
Heliyon
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.heliyon.2023.e21723,
  title = {Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing.},
  author = {Luschi A and Nesi P and Iadanza E},
  year = {2023},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2023.e21723},
  url = {https://doi.org/10.1016/j.heliyon.2023.e21723}
}

RIS

TY  - JOUR
TI  - Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing.
AU  - Luschi A
AU  - Nesi P
AU  - Iadanza E
PY  - 2023
JO  - Heliyon
DO  - 10.1016/j.heliyon.2023.e21723
UR  - https://doi.org/10.1016/j.heliyon.2023.e21723
ER  - 

APA

A, L., P, N., & E, I. (2023). Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing.. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e21723

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