Publications by authors named "Shuangyan Yi"

Objective: The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes.

Methods: Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the study and were randomly and equally divided into 45 cases each in the control and experimental groups for the prospective trial. The patients in the control group received routine treatment while those in the experimental group were treated with GP model.

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Current unsupervised feature selection methods cannot well select the effective features from the corrupted data. To this end, we propose a robust unsupervised feature selection method under the robust principal component analysis (PCA) reconstruction criterion, which is named the adaptive weighted sparse PCA (AW-SPCA). In the proposed method, both the regularization term and the reconstruction error term are constrained by the l -norm: the l -norm regularization term plays a role in the feature selection, while the l -norm reconstruction error term plays a role in the robust reconstruction.

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Many conventional computer vision object tracking methods are sensitive to partial occlusion and background clutter. This is because the partial occlusion or little background information may exist in the bounding box, which tends to cause the drift. To this end, in this paper, we propose a robust tracker based on key patch sparse representation (KPSR) to reduce the disturbance of partial occlusion or unavoidable background information.

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Background And Aims: An aging population leads to the increased prevalence of coronary artery disease (CAD) and chronic renal insufficiency (CRI). Nevertheless, the prevalence, clinical predictors, and prognostic impact of CRI in very old Chinese patients with CAD are unclear.

Methods: Baseline characteristics were obtained from 1,050 old patients with CAD.

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Objective: To analyze the relationship between N-terminal pro-brain natriuretic peptide (NT-proBNP) and renal function, and compare the ability and cut-off thresholds of NT-proBNP to detect chronic heart failure (CHF) and predict mortality in elderly Chinese coronary artery disease (CAD) patients with and without chronic kidney disease (CKD).

Methods: The study included 999 CAD patients older than 60 years. The endpoint was all-cause mortality over a mean follow-up period of 417 days.

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Objective: As a standard indicator of renal function, the glomerular filtration rate (GFR) is vital for the prognostic analysis of elderly patients with coronary artery disease (CAD). Thus, the search for the calculation equation of GFR with the best prognostic ability is an important task. The most commonly used Modification of Diet in Renal Disease (MDRD) equation and the Chinese version (CMDRD) of the MDRD equation has many shortcomings.

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Objective: To evaluate the prognostic value of chronic kidney disease (CKD) in elderly Chinese patients with chronic heart failure (CHF).

Methods: The study consisted of 327 elderly patients with CHF. All-cause mortality was chosen as an endpoint over the median follow-up period of 345 days.

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Background And Aims: To explore efficacy and safety of a modified dosage regimen of nesiritide in patients (≥75 years) with acute heart failure (AHF).

Methods: Total 140 patients (≥75 years) with AHF were enrolled in this study. They were randomly and evenly divided into two group--control and nesiritide group.

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