Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...
A Logistic Regression model is trained to recognize all handwritten digits from 0 to 9. After training, the model predicts custom digit images stored in the test dataset folder. A second Logistic ...
Post-operative delirium (POD) is a common complication in older adults undergoing total knee arthroplasty (TKA). Procedure-specific predictive models remain limited. This study aimed to develop a ...
Project/ │ ├── data/ # Raw datasets │ ├── housing.csv # Housing price data (500 samples) │ └── customers.csv # Customer churn data (800 samples) │ ├── notebooks/ # Jupyter notebooks for analysis │ ├── ...
ABSTRACT: Logistic regression remains one of the most widely applied statistical techniques for modelling binary health outcomes due to its simplicity, interpretability, and robust theoretical ...
Background The impact of COVID-19 in hypertrophic cardiomyopathy (HCM), particularly in the post-vaccine era, remains ...
Evaluating Minority Participation in Radiation Oncology Clinical Trials and the Impact of COVID-19 on Enrollment in a Large Integrated Academic Satellite Network This is a retrospective ...
Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches rely on ...
Objectives To examine the association between institutional reporting and support structures and the reporting behaviour, ...
Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of machine ...
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