Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs
. Echocardiographic Datasets Showing Development of Cardiac Remodelling in Rats at Different Time-points after Acute Myocardial Infarction. Biomed Data J. 2015;1(3):41-44.
National Library of Medicine (brackets, no "et al."): . Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs. The International Journal of Cardiovascular Imaging. 2015;.
National Library of Medicine (grant proposals with PMCID/PMID): . Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs. The International Journal of Cardiovascular Imaging. 2015;.
National Library of Medicine (NLM) - Grant with PMID: . Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs. The International Journal of Cardiovascular Imaging. 2015;.
