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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

Open Access
|Jul 2024

Authors

Hideto Yasuda

yasudahideto@me.com

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, 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 Queensland, Australia
School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia

Claire M. Rickard

School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, Australia
School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North Health, Herston, Australia

Olivier Mimoz

CHU de Poitiers, Emergency Department and prehospital care, Poitiers, France
University of Poitiers, INSERM U1070, Pharmacology of antimicrobial agents and antibiotics resistance (PHAR2), Poitiers, France
University of Poitiers, Faculty of Medicine and Pharmacy, Poitiers, France

Nicole Marsh

School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, Australia
School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North Health, Herston, Australia

Jessica A Schults

School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, Australia
School of Nursing and Midwifery; Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
Herston Infectious Diseases Institute, Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Metro North Health, Herston, Australia

Bertrand Drugeon

CHU de Poitiers, Emergency Department and prehospital care, Poitiers, France
University of Poitiers, INSERM U1070, Pharmacology of antimicrobial agents and antibiotics resistance (PHAR2), Poitiers, France

Masahiro Kashiura

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan

Yuki Kishihara

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan

Yutaro Shinzato

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan

Midori Koike

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan

Takashi Moriya

Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan

Yuki Kotani

Department of Intensive Care Medicine, Kameda Medical Center, Chiba, Japan

Natsuki Kondo

Department of Emergency Medicine, Koga Community Hospital, Shizuoka, Japan

Kosuke Sekine

Department of Medical Engineer, Kameda Medical Center, Chiba, Japan

Nobuaki Shime

Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Keita Morikane

Division of Clinical Laboratory and Infection Control, Yamagata University Hospital, Yamagata, Japan

Takayuki Abe

Biostatistics, Clinical and Translational Research Center, Keio University School of Medicine, Tokyo, Japan
School of Data Science, Kyoto Women’s University, Kyoto, Japan
DOI: https://doi.org/10.2478/jccm-2024-0028 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
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

© 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.