Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
A machine learning model for predicting abnormal liver function induced by a Chinese herbal medicine preparation (Zhengqing Fengtongning) in patients with rheumatoid arthritis based on real-world study.
J Integr Med
December 2024
Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address:
Objective: Rheumatoid arthritis (RA) is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients' quality of life. Zhengqing Fengtongning (ZF) is a traditional Chinese medicine preparation used to treat RA. ZF may cause liver injury.
View Article and Find Full Text PDFPredicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data.
Psychol Med
November 2024
Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
Background: Involuntary admissions to psychiatric hospitals are on the rise. If patients at elevated risk of involuntary admission could be identified, prevention may be possible. Our aim was to develop and validate a prediction model for involuntary admission of patients receiving care within a psychiatric service system using machine learning trained on routine clinical data from electronic health records (EHRs).
View Article and Find Full Text PDFImportance of Ultraviolet-C (UV-C) Emitter Configuration for Clostridioides difficile Attenuation.
Cureus
October 2024
Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, USA.
Background: The impact of ultraviolet-C (UV-C) emitter configuration on pathogen attenuation has not been assessed. We hypothesized that emitter configuration would impact UV-C efficacy for () attenuation.
Methods: carriers (ReadyNow Test Carriers, Stratix Labs Corporation, Saint Paul, MN) inoculated with > 10 American Type Culture Collection (ATCC) 43593 (according to American Society for Testing and Materials (ASTM) 3135 standards) were obtained, and the following experiments were conducted from April to August of 2023.
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring.
NPJ Digit Med
November 2024
Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance of a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. We performed a prospective observational clinical study in Vietnam between January 2020 and October 2022: 153 patients were included in analyses, providing 1353 h of PPG data.
View Article and Find Full Text PDFPredicting complications in paediatric ulcerative colitis: A longitudinal multicentre cohort study.
Aliment Pharmacol Ther
November 2024
Department of Paediatrics, Greifswald University Medical Centre, Greifswald, Germany.
Article Synopsis
- The study investigates predictors of poor outcomes in pediatric patients with ulcerative colitis (UC) using data from 743 patients under 18 years old from a German-Austrian registry.
- Older age at diagnosis, higher disease activity in the early months, and specific symptoms like upper gastrointestinal involvement were linked to worse outcomes.
- Findings may assist doctors in recognizing at-risk patients and applying timely treatment strategies to prevent complications.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!