Flowchart of the proposed algorithm. حسب Heewon Chung (2881286)

الموضوعات:

Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات: "…assess microvascular function…"

EALM algorithm. حسب Weibo Wang (782424)

Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Effect of model hyperparameters on decision function. حسب Bernhard Vennemann (7434353)

الموضوعات: "…unsupervised novelty detection algorithms…"

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning حسب Bernhard Vennemann (7434353)

الموضوعات: "…unsupervised novelty detection algorithms…"

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction حسب Yisheng Huang (152457)

"…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …"

Effect diagram of different smooth functions approaching positive sign function (k = 10). حسب Jianjian Wang (288375)

الموضوعات:

The expert screening cost <i>g</i>_expert(<i>x</i>) defined for the Challenge: Mean cost for screening a fraction <i>x</i> of a patient cohort for cardiac abnormalities. حسب Matthew A. Reyna (16965038)

الموضوعات:

Demographic, murmur, and clinical outcome information in the Challenge training, validation, and/or test sets; nan values indicate unknown or missing values. حسب Matthew A. Reyna (16965038)

الموضوعات:

Demographic, murmur, and clinical outcome distributions across the Challenge training, validation, and test data. حسب Matthew A. Reyna (16965038)

الموضوعات:

Weighted accuracy metric (1) for the murmur detection task (<i>x</i>-axis) and the cost metric (8) scores for the clinical outcome identification task (<i>y</i>-axis) of the final... حسب Matthew A. Reyna (16965038)

الموضوعات:

Scores of the officially ranked methods on the test set for the clinical outcome identification task. حسب Matthew A. Reyna (16965038)

الموضوعات:

Auscultation locations for the CirCor DigiScope dataset [6], which was used for the Challenge: Pulmonary valve (PV), aortic valve (AV), mitral valve (MV), and tricuspid valve (TV). حسب Matthew A. Reyna (16965038)

الموضوعات:

Traditional evaluation metric (<i>x</i>-axis) and cost metric (<i>y</i>-axis) scores for the final Challenge entries with the clinical outcome identification task on the hidden tes... حسب Matthew A. Reyna (16965038)

الموضوعات:

Traditional evaluation metric (<i>x</i>-axis) and weighted accuracy metric (<i>y</i>-axis) scores for the final Challenge entries with the murmur detection task on the hidden test... حسب Matthew A. Reyna (16965038)

الموضوعات:

Confusion matrix <i>N</i> for clinical outcome detection with two classes: Clinical outcome abnormal and clinical outcome normal. حسب Matthew A. Reyna (16965038)

الموضوعات:

Screening and diagnosis pipeline for the Challenge. حسب Matthew A. Reyna (16965038)

الموضوعات:

Confusion matrix <i>M</i> for murmur detection with three classes: Murmur present, murmur unknown, and murmur absent. حسب Matthew A. Reyna (16965038)

الموضوعات: