Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities.

Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data.

Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach.

Deep venous thrombosis is a critical medical condition that occurs when a blood clot forms in a deep vein, usually in the legs, and can lead to life-threatening complications such as pulmonary embolism if not detected early. Hospitalized patients, especially those with immobility or post-surgical recovery, are at higher risk of developing deep venous thrombosis, making early prediction and intervention vital for preventing severe outcomes. In this study, we evaluated the following eight machine learning models to predict deep venous thrombosis risk: logistic regression, random forest, XGBoost, artificial neural networks, k-nearest neighbors, gradient boosting, CatBoost, and LightGBM.

Evaluating Anesthesia Practices, Patient Characteristics, and Outcomes in Electroconvulsive Therapy: A Two-Year Retrospective Study.

: Electroconvulsive therapy (ECT) is a well-established treatment for various psychiatric disorders. This retrospective study evaluates anesthesia practices, patient characteristics, and outcomes in ECT over a two-year period at the "Dr. Gheorghe Preda" Clinical Psychiatry Hospital in Sibiu, Romania.

Early Presentation of Boerhaave Syndrome in the Emergency Department: A Case Report and Review of the Literature.

We present the case of a 46-year-old patient who arrived at the emergency department with chest pain following an episode of vomiting. The diagnosis was Boerhaave syndrome and acute mediastinitis. Due to the prompt presentation and the location of the rupture in the lower esophagus, emergency surgical intervention was performed, including esophageal suturing, mediastinal drainage, and jejunostomy for feeding.

Quantitative Magnetic Resonance Cholangiopancreatography Scoring and Its Predictive Value for Outcomes in Adults with Primary Sclerosing Cholangitis.

Primary sclerosing cholangitis (PSC) is an immune-mediated disease that has an unfavorable prognosis and needs a liver transplant (LT). The aim of this paper was to show the usefulness of the Majoie classification on magnetic resonance cholangiopancreatography (MRCP) images in assessing the prognosis in adult patients with PSC. Our work presents a retrospective monocentric study performed on 64 adult patients with PSC of the large bile ducts.