Adding clinical risk factors and a coronary artery calcium (CAC) score to the conventional diagnostic algorithm for chest pain improves the prediction and discrimination of patients with suspected ...
This paper addresses the building of obligor-level hazard rate corporate probability of default models for stress testing, departing from the predominant practice in wholesale credit modeling of ...
In a recent study published in JAMA Network Open, a group of researchers evaluated the proficiency of Generative Pre-trained Transformer 4 (GPT-4) artificial intelligence (AI) in probabilistic ...
Among patients with suspected obstructive CAD, two simple models that include clinical risk factors both outperform the commonly used pretest probability (PTP) model when it comes to predicting the ...
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