Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.4103/0255-0857.167338 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Establishment and validation of predictive model of ARDS in critically ill patients.
J Transl Med
January 2025
Department of Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, China.
Background: Acute respiratory distress syndrome (ARDS) is a prevalent complication among critically ill patients, constituting around 10% of intensive care unit (ICU) admissions and mortality rates ranging from 35 to 46%. Hence, early recognition and prediction of ARDS are crucial for the timely administration of targeted treatment. However, ARDS is frequently underdiagnosed or delayed, and its heterogeneity diminishes the clinical utility of ARDS biomarkers.
View Article and Find Full Text PDFMortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis.
BMC Med Inform Decis Mak
January 2025
Higher Institute of Medical Technology, Yaoundé, Cameroon.
Background: In Cameroon, like in many other resource-limited countries, data generated by health settings including morbidity and mortality parameters are not always uniform. In the absence of a national guideline necessary for the standardization and harmonization of data, precision of data required for effective decision-making is therefore not guaranteed. The objective of the present study was to assess the reporting style of morbidity and mortality data in healthcare settings.
View Article and Find Full Text PDFDelays in health care seeking for diarrheal disease and associated factors among caregivers of under five children in health centers of northwest Ethiopia: a mixed-method study.
BMC Public Health
January 2025
College of Medicine and Health Sciences, Arba Minch University, P.O. Box, 21, Arba Minch City, Ethiopia.
Background: Approximately 70% of child deaths due to diarrhea are caused by a lack of timely healthcare. However, there was little evidence of factors associated with delays in seeking health care for patients with diarrheal diseases in the study area. Therefore, this study aimed to investigate delays in seeking healthcare for children with diarrhea and identify associated factors among caregivers in health centers of Northwest Ethiopia.
View Article and Find Full Text PDFDiagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.
BMC Cancer
January 2025
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Background: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.
View Article and Find Full Text PDFMindfulness-based interventions for improvement of lifestyle behaviors and body mass index in children with overweight or obesity: a systematic review and meta-analysis.
Eur J Pediatr
January 2025
Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Unlabelled: This study aimed to synthesize evidence from primary studies on the acceptability and effectiveness of mindfulness-based interventions (MBIs) for improving lifestyle behaviors and body mass index (BMI) in children with overweight or obesity. We conducted a meta-analysis or followed the Synthesis Without Meta-analysis (SWiM) guidelines to synthesize study findings. The analysis included both mindfulness-only interventions and comprehensive behavioral interventions incorporating mindfulness components.
View Article and Find Full Text PDFWant 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!