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 ...
Project/ │ ├── data/ # Raw datasets │ ├── housing.csv # Housing price data (500 samples) │ └── customers.csv # Customer churn data (800 samples) │ ├── notebooks/ # Jupyter notebooks for analysis │ ├── ...
Background The impact of COVID-19 in hypertrophic cardiomyopathy (HCM), particularly in the post-vaccine era, remains ...
ABSTRACT: 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 ...
ABSTRACT: 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 ...
Objectives To examine the association between institutional reporting and support structures and the reporting behaviour, ...
Age-related thymic involution: Mechanistic insights and rejuvenating approaches to restore immune function To address these gaps, we integrated genetic data across hepatic and cardiometabolic traits ...
Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
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