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A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.
Scientific reports
Mar 15, 2025
Physicians evaluate a patient's respiratory health during a physical examination by visual assessment of the work of breathing (WoB) to determine respiratory stability, and by detecting abnormal lung sounds via lung auscultation using a stethoscope t...
Multimodal machine learning for deception detection using behavioral and physiological data.
Scientific reports
Mar 15, 2025
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects. T...
Machine learning-based prediction models for renal impairment in Chinese adults with hyperuricaemia: risk factor analysis.
Scientific reports
Mar 15, 2025
In hyperuricaemic populations, multiple factors may contribute to impaired renal function. This study aimed to establish a machine learning-based model to identify characteristic factors related to renal impairment in hyperuricaemic patients, determi...
Quantitative multislice and jointly optimized rapid CEST for in vivo whole-brain imaging.
Magnetic resonance in medicine
Mar 14, 2025
PURPOSE: To develop a quantitative multislice chemical exchange saturation transfer (CEST) schedule optimization and pulse sequence that reduces the loss of sensitivity inherent to multislice sequences.
Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.
European journal of radiology
Mar 14, 2025
PURPOSE: For patients suffering from differentiated thyroid cancer (DTC), several clinical, laboratory, and pathological features (including patient age, tumor size, extrathyroidal extension, or serum thyroglobulin levels) are currently used to ident...
Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.
The Journal of infection
Mar 14, 2025
OBJECTIVES: Dengue virus (DENV) infection is a significant global health concern, causing severe morbidity and mortality. While many cases present as a mild febrile illness, some progress to life-threatening severe dengue (SD). Early intervention is ...
Analysis of the factors influencing the salary level and satisfaction of medical staff in hospitals in less developed areas of Western China based on machine learning algorithms: evidence from Guangxi Zhuang Autonomous Region.
BMC health services research
Mar 14, 2025
BACKGROUND: Compensation plays a critical role in motivating staff and enhancing operational performance and human resource costs in hospitals. This study was aimed at investigating pay levels and the key factors influencing pay satisfaction in secon...
Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests.
BMC medical informatics and decision making
Mar 14, 2025
Hyperuricemia has seen a continuous increase in incidence and a trend towards younger patients in recent years, posing a serious threat to human health and highlighting the urgency of using technological means for disease risk prediction. Existing ri...
Subphenotyping prone position responders with machine learning.
Critical care (London, England)
Mar 14, 2025
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying response to prone positioning. We aimed to identify subphenotypes of ARDS patients undergoing prone positioning using machine learning and assess their a...
Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal.
Scientific reports
Mar 14, 2025
Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for the automatic measurement of breast density and the quantitative analysis of imaging findings. This study aims to compare various dee...
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