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Myocardial Infarction

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MIRKB: a myocardial infarction risk knowledge base.

Database : the journal of biological databases and curation
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifes...

Serum Aldosterone as Predictor of Progression of Coronary Heart Disease in Patients Without Signs of Heart Failure After Acute Myocardial Infarction.

Medical archives (Sarajevo, Bosnia and Herzegovina)
INTRODUCTION: In patients with acute myocardial infarction (AMI) early risk assessment of development of complications is of great importance. It is proven that aldosterone level has a major role in progression of cardiovascular pathology.

Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible.

Investigative radiology
OBJECTIVES: The aim of this study was to test whether texture analysis and machine learning enable the detection of myocardial infarction (MI) on non-contrast-enhanced low radiation dose cardiac computed tomography (CCT) images.

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.

Studies in health technology and informatics
Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-elevation myocardial infarction (STEMI) is more severe and has a higher mortality rate. Accurate and interpretable prediction of in-hospital mortality is...

[Development, identification and application of 33 monoclonal antibodies against cardiac troponin T].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
The aim of this study is to prepare and characterize cardiac troponin T (cTnT) monoclonal antibodies (mAb), and further develop a chemiluminescence quantitative detection assay for cTnT. BALB/c mice were immunized with recombinant cTnT antigen, and s...

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Journal of healthcare engineering
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...