Publications by authors named "P M Azevedo-Marques"
Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability.
PLoS One
October 2024
Article Synopsis
- - The study focuses on developing and validating machine learning models to predict major adverse cardiovascular events (MACE) by evaluating their reliability and interpretability across different populations, utilizing data from Brazil and the USA.
- - Eight machine learning algorithms were trained using a balanced dataset and assessed for their predictive performance based on accuracy and ROC curve metrics, with emphasis on Random Forest, which outperformed the others in both internal and external validations.
- - Findings indicate that while Random Forest was the most effective model, Shapley values offered more consistent insights for understanding feature importance compared to LIME during exploratory analyses.
Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for analyzing various spinal diseases. However, traditional methods are either laborious and time-consuming (manual segmentation) or require extensive training data (fully automatic segmentation). FastCleverSeg, our proposed semi-automatic segmentation approach, addresses those limitations by significantly reducing user interaction while maintaining high accuracy.
View Article and Find Full Text PDFTo train an artificial neural network model using 3D radiomic features to differentiate benign from malignant vertebral compression fractures (VCFs) on MRI. This retrospective study analyzed sagittal T1-weighted lumbar spine MRIs from 91 patients (average age of 64.24 ± 11.
View Article and Find Full Text PDFThe use of routine magnetic resonance imaging (MRI) to potentially assess skeletal fragility has been widely studied in osteoporosis. The aim of this study was to evaluate bone texture attributes (TA) from routine lumbar spine (LS) MRI and their correlation with vertebral fragility fractures (VFF) and bone mineral density (BMD). Sixty-four post-menopausal women were submitted to LS densitometry, total spine radiographs, and routine T2-weighted LS MRI.
View Article and Find Full Text PDFVertebral Compression Fracture (VCF) occurs when the vertebral body partially collapses under the action of compressive forces. Non-traumatic VCFs can be secondary to osteoporosis fragility (benign VCFs) or tumors (malignant VCFs). The investigation of the etiology of non-traumatic VCFs is usually necessary, since treatment and prognosis are dependent on the VCF type.
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