Congestive Heart Failure

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 c...

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 ris...

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 pre...

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

Cuff-less blood pressure (BP) monitoring is increasingly being needed for cardiovascular events mana...

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) mea...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...

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 und...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD)...

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 t...

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...

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 ...

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 ...

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 medica...

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 hear...

CHF Detection with LSTM Neural Network.

Heart rate variability has been proven to be an effective prediction of risk of heart failure. The t...

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 i...

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 ...

Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dy...

Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble.

Computer-aided diagnosis (CAD) of retinal pathologies is a current active area in medical image anal...

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.

The implementation of clinical-decision support algorithms for medical imaging faces challenges with...