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A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.
J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
Closing the Gap: Digital Innovations to Address Hypertension Disparities.
Curr Cardiol Rep
January 2025
Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA.
Purpose Of Review: Significant inequities persist in hypertension detection and control, with minoritized populations disproportionately experiencing organ damage and premature death due to uncontrolled hypertension. Remote blood pressure monitoring combined with telehealth visits (RBPM) is proving to be an effective strategy for controlling hypertension. Yet there are challenges related to technology adoption, patient engagement and social determinants of health (SDoH), contributing to disparities in patient outcomes.
View Article and Find Full Text PDFAcceptance, Safety, and Effect Sizes in Online Dialectical Behavior Therapy for Borderline Personality Disorder: Interventional Pilot Study.
JMIR Form Res
January 2025
Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Background: The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation.
Objective: This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD).
The Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet: Nationwide Cross-Sectional Study.
J Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFEliciting Preferences for the Uptake of Smoking Cessation Apps: Discrete Choice Experiment.
J Med Internet Res
January 2025
Behavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, United Kingdom.
Background: If the most evidence-based and effective smoking cessation apps are not selected by smokers wanting to quit, their potential to support cessation is limited.
Objective: This study sought to determine the attributes that influence smoking cessation app uptake and understand their relative importance to support future efforts to present evidence-based apps more effectively to maximize uptake.
Methods: Adult smokers from the United Kingdom were invited to participate in a discrete choice experiment.
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