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Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.
J Am Med Inform Assoc
January 2025
Institute of Intelligent Rehabilitation Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Background: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregivers may make mistakes or face confusion during the care plan development process. Consequently, there is a rigid demand for intelligent systems that can recommend comprehensive long-term care plans for older adults with disabilities who have stable clinical conditions.
View Article and Find Full Text PDFDevelopment 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.
Prediction 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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