Cardiovascular

Congestive Heart Failure

Latest AI and machine learning research in congestive heart failure for healthcare professionals.

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Showing 1181-1200 of 5,063 articles

Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves of the left ventricle (LV) and describe their interrelations to obtain more detailed information concerning global LV function in order to be able to identify abnormal changes in LV mechanics. The temporal characteristics of the segmental LV deformation curves were compactly described using an effi...

Mar 20 2017 28321681

Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.

Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis process and aid in the proper management of CHF patients. Therefore, in this work, dual tree complex wavelets transform (DTCWT)-based methodology is propose...

Feb 7 2017 28231511
Predicting DPP-IV inhibitors with machine learning approaches.

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV inhibitors prolong the action of glucagon-like pep...

Feb 2 2017 28155089
Extraction of left ventricular ejection fraction information from various types of clinical reports.

Efforts to improve the treatment of congestive heart failure, a common and serious medical condition, include the use of quality measures to assess gu...

Feb 2 2017 28163196
Multimodal Imaging in Diabetic Macular Edema.

Throughout ophthalmic history it has been shown that progress has gone hand in hand with technological breakthroughs. In the past, fluorescein angiogr...

Jan 29 2017 29376234
The Evaluation of the Effect of Herbal Extract on Osteoarthritis: and Study.

In this study, the anti-osteoarthritis effects of , , and extract (CPAE), observed and confirmed in previously clinical studies were further investig...

Dec 31 2016 28078252
Evaluation of Antioxidant, Anti-cholinesterase, and Anti-inflammatory Effects of Culinary Mushroom .

Culinary mushroom has been popular in Asian countries. In this study, the anti-oxidant, cholinesterase, and inflammation inhibitory activities of met...

Dec 31 2016 28154487
Medicinal Plants of the Australian Aboriginal Dharawal People Exhibiting Anti-Inflammatory Activity.

Chronic inflammation contributes to multiple ageing-related musculoskeletal and neurodegenerative diseases, cardiovascular diseases, asthma, rheumatoi...

Dec 27 2016 28115968
Laparoendoscopic Rendezvous for Concomitant Cholecystocholedocholithiasis: A Successful Modality Even in the Most Difficult Presentations Including Pregnancy.

. Laparoendoscopic rendezvous (LERV) technique is emerging as an attractive treatment option for concomitant cholecystocholedocholithiasis. In this pa...

Dec 25 2016 28116209
Suppressive effects of the expectorant drug ambroxol hydrochloride on quartz-induced lung inflammation in F344 rats.

Surfactant proteins (SPs) are essential to respiratory structure and function. The expectorant drug ambroxol hydrochloride is clinically prescribed to...

Dec 22 2016 28458453
Acute systolic heart failure with normal admission BNP: clinical features and outcomes.

INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart failure (HF) and normal admission B-type natriuretic...

Dec 20 2016 28094130
Serum Endocan Levels Associated with Hypertension and Loss of Renal Function in Pediatric Patients after Two Years from Renal Transplant.

Endocan is an important biomarker of inflammation and endothelial dysfunction that increases in association with several chronic diseases. Few publish...

Dec 19 2016 28083150
Intravenous Chlorothiazide Versus Enteral Metolazone to Augment Loop Diuretic Therapy in the Intensive Care Unit.

BACKGROUND: In cases of loop diuretic resistance in the intensive care unit (ICU), recommendations for a specific second-line thiazide agent are lacki...

Dec 16 2016 28228057
A New Method for Self-Estimation of the Severity of Obstructive Sleep Apnea Using Easily Available Measurements and Neural Fuzzy Evaluation System.

This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea ind...

Nov 30 2016 27913367
A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement.

Risk assessment of congestive heart failure (CHF) is essential for detection, especially helping patients make informed decisions about medications, d...

Nov 11 2016 27835634
ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic disease, such as cardiovascular disease, type 2 diabe...

Oct 11 2016 27730390
Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.

Biomedical literature articles and narrative content from Electronic Health Records (EHRs) both constitute rich sources of disease-phenotype informati...

Sep 19 2016 27643689
Baseline characteristics of patients with heart failure and preserved ejection fraction at admission with acute heart failure in Saudi Arabia.

UNLABELLED: Heart failure and preserved ejection fraction (HFpEF) is defined as heart failure symptoms and signs with a normal or near-normal ejection...

Sep 3 2016 29622951
Prevention of Unilateral Pulmonary Edema Complicating Robotic Mitral Valve Operations.

BACKGROUND: Unilateral pulmonary edema (UPE) has been reported after mitral operations performed through the right side of the chest. The clinical pre...

Aug 17 2016 27544290
A prediction model of blood pressure for telemedicine.

This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressu...

Aug 4 2016 27496863
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