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

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31 lug 2024
INFORMAZIONI SU QUESTO ARTICOLO

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Yasuda, Hideto
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
Rickard, Claire M.
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
Mimoz, Olivier
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
Marsh, Nicole
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
Schults, Jessica A
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
Drugeon, Bertrand
CHU de Poitiers, Emergency Department and prehospital carePoitiers, France
University of Poitiers, INSERM U1070, Pharmacology of antimicrobial agents and antibiotics resistance (PHAR2)Poitiers, France
Kashiura, Masahiro
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
Kishihara, Yuki
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
Shinzato, Yutaro
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
Koike, Midori
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
Moriya, Takashi
Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical CenterSaitama, Japan
Kotani, Yuki
Department of Intensive Care Medicine, Kameda Medical CenterChiba, Japan
Kondo, Natsuki
Department of Emergency Medicine, Koga Community HospitalShizuoka, Japan
Sekine, Kosuke
Department of Medical Engineer, Kameda Medical CenterChiba, Japan
Shime, Nobuaki
Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima UniversityHiroshima, Japan
Morikane, Keita
Division of Clinical Laboratory and Infection Control, Yamagata University HospitalYamagata, Japan
Abe, Takayuki
Biostatistics, Clinical and Translational Research Center, Keio University School of MedicineTokyo, Japan
School of Data Science, Kyoto Women’s UniversityKyoto, Japan