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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke.
Front Neurol
January 2025
Department of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Objective: To develop and validate an explainable machine learning (ML) model predicting the risk of hemorrhagic transformation (HT) after intravenous thrombolysis.
Methods: We retrospectively enrolled patients who received intravenous tissue plasminogen activator (IV-tPA) thrombolysis within 4.5 h after symptom onset to form the original modeling cohort.
Factors Associated with Human Papillomavirus Vaccine Uptake in Adolescents Aged 10-12 Years in Kiambu Sub-County, Kenya.
Iconic Res Eng J
January 2024
University of Nairobi, College of Health Sciences.
This study aimed to assess factors influencing HPV vaccine uptake among adolescents aged 10-12 years in Kiambu sub-county, Kenya. Despite global efforts, HPV vaccine uptake remains inadequate. Challenges identified include lack of awareness and misconceptions about the vaccine, while factors influencing uptake include age, caregiver's role, education level, and perception of vaccine importance and safety.
View Article and Find Full Text PDFPrediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.
Front Artif Intell
January 2025
Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
Background: The Department of Rehabilitation Medicine is key to improving patients' quality of life. Driven by chronic diseases and an aging population, there is a need to enhance the efficiency and resource allocation of outpatient facilities. This study aims to analyze the treatment preferences of outpatient rehabilitation patients by using data and a grading tool to establish predictive models.
View Article and Find Full Text PDFUlinastatin treatment mitigates glycocalyx degradation and associated with lower postoperative delirium risk in patients undergoing cardiac surgery: a multicentre observational study.
Crit Care
January 2025
Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave, Wuhan, 430030, China.
Background: Ulinastatin (UTI), recognized for its anti-inflammatory properties, holds promise for patients undergoing cardiac surgery. This study aimed to investigate the relationship between intraoperative UTI administration and the incidence of delirium following cardiac surgery.
Methods: A retrospective analysis was performed on a retrospective cohort of 6,522 adult cardiac surgery patients to evaluate the relationship between UTI treatment and the incident of postoperative delirium (POD) in patients ongoing cardiac surgery.
Factors involved in the development of hospital-acquired conditions in older patients in acute care settings: a scoping review.
BMC Health Serv Res
January 2025
Institute of Higher Education and Research in Healthcare, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland.
Background: Older patients hospitalized in acute care settings are at significant risk of presenting hospital-acquired conditions. Healthcare professionals should consider many factors involved in the development of such conditions, including factors related to the patients, as well as those related to the processes of care and the structure of hospitals. The aim of this study was to describe and identify the factors involved in the development of hospital-acquired conditions in older patients in acute care settings.
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