Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis
Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
- Department of Clinical Research Education and Training Unit, Keio University Hospital Clinical and Translational Research Center (CTR)Tokyo, Japan
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of QueenslandAustralia
- School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith UniversityNathan, Australia
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Claire M. Rickard
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of QueenslandAustralia
- School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith UniversityNathan, Australia
- Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North HealthHerston, Australia
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Olivier Mimoz
- CHU de Poitiers, Emergency Department and prehospital carePoitiers, France
- University of Poitiers, INSERM U1070, Pharmacology of antimicrobial agents and antibiotics resistance (PHAR2)Poitiers, France
- University of Poitiers, Faculty of Medicine and PharmacyPoitiers, France
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Nicole Marsh
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of QueenslandAustralia
- School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith UniversityNathan, Australia
- Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North HealthHerston, Australia
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Jessica A Schults
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of QueenslandAustralia
- School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith UniversityNathan, Australia
- Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North HealthHerston, Australia
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Bertrand Drugeon
- CHU de Poitiers, Emergency Department and prehospital carePoitiers, France
- University of Poitiers, INSERM U1070, Pharmacology of antimicrobial agents and antibiotics resistance (PHAR2)Poitiers, France
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Masahiro Kashiura
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
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Yuki Kishihara
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
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Yutaro Shinzato
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
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Midori Koike
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
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Takashi Moriya
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
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Yuki Kotani
Department of Intensive Care Medicine, Kameda Medical CenterChiba, Japan
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Natsuki Kondo
Department of Emergency Medicine, Koga Community HospitalShizuoka, Japan
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Kosuke Sekine
Department of Medical Engineer, Kameda Medical CenterChiba, Japan
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Nobuaki Shime
Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima UniversityHiroshima, Japan
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Keita Morikane
Division of Clinical Laboratory and Infection Control, Yamagata University HospitalYamagata, Japan
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Takayuki Abe
- Biostatistics, Clinical and Translational Research Center, Keio University School of MedicineTokyo, Japan
- School of Data Science, Kyoto Women’s UniversityKyoto, Japan
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31. Juli 2024
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Artikel-Kategorie: Research Article
Online veröffentlicht: 31. Juli 2024
Seitenbereich: 232 - 244
Eingereicht: 07. Feb. 2024
Akzeptiert: 15. Juni 2024
DOI: https://doi.org/10.2478/jccm-2024-0028
Schlüsselwörter
© 2024 Hideto Yasuda et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
- Sprache:
- Englisch
- Zeitrahmen der Veröffentlichung:
- 4 Hefte pro Jahr
- Fachgebiete der Zeitschrift:
- Medizin, Klinische Medizin, Allgemeinmedizin, Innere Medizin, Innere Medizin, andere, Anästhesiologie, Intensivmedizin und Notfallmedizin, Chirurgie, Chirurgie, andere