Congestive Heart Failure

Ex-vivo antihypertensive and calcium channel blocking activity of Androsace foliosa n-hexane leaves fraction on isolated rabbit aorta.

Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of hypertension suggested that by the Year 2025 (29%) of adult worldwide are suffering from hypertension (1.56 billion). Hypertension complications are hemorrhage, atherosclerosis, renal artery stenosis, angina pectoris end organ damage, cardiomyopathy, myocardial infarction and retinopathy. Along wit...

Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 to June 2018, 24 patients with GBM and 18 patients with sBM were included in this retrospective study. The enhancing area was first segmented on the po...

Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for...

Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning.

This paper presents a novel method to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP) from time domain features extracted on...

Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network.

Cuff-less blood pressure (BP) monitoring is increasingly being needed for cardiovascular events management in clinical. Many of the existing methods, ...

Deep learning-based automatic blood pressure measurement: evaluation of the effect of deep breathing, talking and arm movement.

It is clinically important to evaluate the performance of a newly developed blood pressure (BP) measurement method under different measurement condit...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which increases the chance of early diagnosis and improve ...

Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling.

We study the way dynamics affects modelling in chronic heart failure (CHF) tasks. By dynamics we understand the patient history and the appearance of ...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of dise...

Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging.

OBJECTIVEPrognostication and surgical planning for WHO grade I versus grade II meningioma requires thoughtful decision-making based on radiographic ev...

Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.

Treatment of Chylothorax with Pleurodesis (A Lesser Known Complication of Behçet's Disease): A Case Report.

Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral mucosae and often reoccurs intermittently. Chylot...

Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.

AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of the left ventricle (LV) of the heart in patients w...

Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach.

The diagnosis of dilated cardiomyopathy (DCM) remains a challenge in clinical radiology. This study aimed to investigate whether texture analysis (TA)...

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.

Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demon...

Sleep Posture Classification Using Bed Sensor Data and Neural Networks.

Sleep posture has been shown to be important in monitoring health conditions such as congestive heart failure (CHF), sleep apnea, pressure ulcers, and...

CHF Detection with LSTM Neural Network.

Heart rate variability has been proven to be an effective prediction of risk of heart failure. The tradition method required manual feature extraction...

Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography.

Diabetic Macular Edema (DME) is a severe eye disease that can lead to irreversible blindness if it is left untreated. DME diagnosis still relies on ma...

Effect of intraoperative mannitol administration on acute kidney injury after robot-assisted laparoscopic radical prostatectomy: A propensity score matching analysis.

Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies have found divergent effects of intraoperative man...

Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dysfunction (LVDD) and is a strong predictor of card...