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Ejection Fraction Indexed to Left Ventricular Mass and Its Association With Cardiac Event Risk in a Community Population With Mildly Reduced or Preserved ... - AHA/ASA Journals
eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are ...
ahajournals.org1mon
National Trends in Heart Failure and Acute Myocarditis–Related Death Before and During the COVID ‐19 Pandemic - AHA/ASA Journals
eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are ...
IEEE1mon
Feature-Based Detection and Classification of Sleep Apnea and Hypopnea Using Multispectral Imaging | IEEE Journals & Magazine | IEEE Xplore
The estimations of the apnea-hypopnea index (AHI), obstructive apnea index (oAI), and central apnea index (cAI) result in a Pearson correlation of 0.9981, 0.9989, and 0.9950 respectively. A correct ...
ahajournals.org2mon
Suppression of the Prostaglandin I2–Type 1 Interferon Axis Induces Extramedullary Hematopoiesis to Promote Cardiac Repair After Myocardial Infarction - AHA/ASA Journals
Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. ... (2021-I2M-1–019 and 2021-I2M-1–040), and the CAMS ...
Bloomberg L.P.2mon
Hungary Central Bank Alleges Fraud at Its Foundation, Index Says
The new management of the Hungarian central bank’s foundation, appointed by recently installed Governor Mihaly Varga, has pressed charges on suspected fraud and misappropriation under the ...
IEEE2mon
Optimal Transport and Central Moment Consistency Regularization for Semi-supervised Medical Image Segmentation | IEEE Journals & Magazine | IEEE Xplore
Semi-supervised learning leverages insights from unlabeled data to enhance generalizability of the model, thereby decreasing the dependence on extensive labeled datasets. Most existing methods overly ...