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Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis Cover

Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis

The Journal of Critical Care Medicine
Volume 10 (2024): Issue 3 (July 2024)
By: Hideto Yasuda,  Claire M. Rickard,  Olivier Mimoz,  Nicole Marsh,  Jessica A Schults,  Bertrand Drugeon,  Masahiro Kashiura,  Yuki Kishihara,  Yutaro Shinzato,  Midori Koike,  Takashi Moriya,  Yuki Kotani,  Natsuki Kondo,  Kosuke Sekine,  Nobuaki Shime,  Keita Morikane and  Takayuki Abe  
Open Access
|Jul 2024

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DOI: https://doi.org/10.2478/jccm-2024-0028 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
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Language: English
Page range: 232 - 244
Submitted on: Feb 7, 2024
Accepted on: Jun 15, 2024
Published on: Jul 31, 2024
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
phlebitis,
complication,
machine learning,
prediction model,
risk factor
Related subjects:
Medicine,
Clinical medicine,
Internal medicine,
Internal medicine, other,
Anaesthesiology,
Emergency medicine and intensive-care medicine,
Surgery,
Surgery, other

© 2024 Hideto Yasuda, Claire M. Rickard, Olivier Mimoz, Nicole Marsh, Jessica A Schults, Bertrand Drugeon, Masahiro Kashiura, Yuki Kishihara, Yutaro Shinzato, Midori Koike, Takashi Moriya, Yuki Kotani, Natsuki Kondo, Kosuke Sekine, Nobuaki Shime, Keita Morikane, Takayuki Abe, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.

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