Filtered By:
Condition: Heart Failure
Education: Learning

This page shows you your search results in order of date. This is page number 8.

Order by Relevance | Date

Total 162 results found since Jan 2013.

Deep learning approach for diabetes prediction using PIMA Indian dataset
ConclusionThe outcome of the study confirms that DL provides the best results with the most promising extracted features. DL achieves the accuracy of 98.07% which can be used for further development of the automatic prognosis tool. The accuracy of the DL approach can further be enhanced by including the omics data for prediction of the onset of the disease.
Source: Journal of Diabetes and Metabolic Disorders - April 13, 2020 Category: Endocrinology Source Type: research

Janssen Highlights Continued Commitment to Cardiovascular & Metabolic Healthcare Solutions with Late-Breaking Data at the First Fully Virtual American College of Cardiology Scientific Session
RARITAN, N.J., March 20, 2020 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that it will unveil late-breaking data from its leading cardiovascular and metabolism portfolio during the virtual American College of Cardiology’s 69th Annual Scientific Session together with the World Congress of Cardiology (ACC.20/WCC) on March 28-30, 2020. Notably, four late-breaking abstracts for XARELTO® (rivaroxaban) will be presented, including data from the Phase 3 VOYAGER PAD study in patients with symptomatic peripheral artery disease (PAD) after lower-extremity revascularization.Click to Tweet: Jan...
Source: Johnson and Johnson - March 20, 2020 Category: Pharmaceuticals Source Type: news

A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure
Publication date: April 2020Source: Biomedical Signal Processing and Control, Volume 58Author(s): C. El-Hajj, P.A. KyriacouAbstractHypertension or high blood pressure is a leading cause of death throughout the world and a critical factor for increasing the risk of serious diseases, including cardiovascular diseases such as stroke and heart failure. Blood pressure is a primary vital sign that must be monitored regularly for the early detection, prevention and treatment of cardiovascular diseases. Traditional blood pressure measurement techniques are either invasive or cuff-based, which are impractical, intermittent, and unc...
Source: Biomedical Signal Processing and Control - February 13, 2020 Category: Biomedical Science Source Type: research

Cells to Society: Year of the Nurse / Global Impact
This study establishes baseline sociodemographic and clinical characteristics of hospitalized patients in Nepal who were experiencing heart failure.     Read more   Maternal Health ...
Source: Johns Hopkins University and Health Systems Archive - February 6, 2020 Category: Nursing Source Type: news

What ’s the Big Deal about Data in Medtech?
Discussion, “Top 5 Things You Need to Know about the Implantable Internet of Things." Brian Chapman, partner and leader of ZS’s medtech practice of ZS, attributes today’s focus on data to the intersection of two important things: "A general recognition that understanding more and connecting actions with outcomes will provide feedback and understanding that will drive standards of care. This is not new, but as capabilities rise in data collection, aggregation, and synthesize rise, and coupled with machine learning, the promise of data in healthcare is becoming even more ...
Source: MDDI - December 20, 2019 Category: Medical Devices Authors: Daphne Allen Tags: Digital Health Source Type: news

Phenomapping of patients with heart failure with preserved ejection fraction using machine learning ‐based unsupervised cluster analysis
ConclusionsMachine learning ‐based cluster analysis can identify phenogroups of patients with HFpEF with distinct clinical characteristics and long‐term outcomes.
Source: European Journal of Heart Failure - October 20, 2019 Category: Cardiology Authors: Matthew W. Segar, Kershaw V. Patel, Colby Ayers, Mujeeb Basit, W.H. Wilson Tang, Duwayne Willett, Jarett Berry, Justin L. Grodin, Ambarish Pandey Tags: Research Article Source Type: research

Possible Consequences of Parathyroidectomy on Hypertension in Primary Hyperparathyroidism
When counseling patients regarding the potential benefits of parathyroidectomy for primary hyperparathyroidism (PHPT), surgeons discuss the possible short-term and long-term consequences of operation. The short-term benefits may include alleviation of fatigue, bone aches, depressed mood, and frequent urination. While it is extremely rewarding to improve these symptoms, it is the long-term benefits that may be truly life-altering and potentially lifesaving. The organs most likely to be negatively affected by PHPT are the bones, kidneys, brain, and heart. Medical students everywhere still learn about the effects of this dise...
Source: JAMA Surgery - October 9, 2019 Category: Sports Medicine Source Type: research

Alzheimer's dementia: pathogenesis and impact of cardiovascular risk factors on cognitive decline.
Authors: Wanleenuwat P, Iwanowski P, Kozubski W Abstract Alzheimer's disease (AD) is the most common form of dementia manifesting as alterations in cognitive abilities, behavior and deterioration in memory which is progressive, leading to gradual worsening of symptoms. Major pathological features of AD are accumulations of neuronal amyloid plaques and neurofibrillary tangles, with early lesions appearing primarily in the hippocampus, the area of the brain involved in memory and learning. Cardiovascular related risk factors are believed to play a crucial role in disease development and the acceleration of cognitive ...
Source: Postgraduate Medicine - August 21, 2019 Category: Internal Medicine Tags: Postgrad Med Source Type: research

Screening mammography beyond breast cancer: breast arterial calcifications as a sex-specific biomarker of cardiovascular risk
ConclusionsThere is a strong rationale for mammography to become a dual test for breast cancer screening and CV disease prevention. However, robust and automated quantification methods are needed for a deeper insight on the association between BAC and CV disease, to stratifying CV risk and define personalized preventive actions.Graphical abstract
Source: European Journal of Radiology - August 12, 2019 Category: Radiology Source Type: research

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
Publication date: Available online 1 August 2019Source: The LancetAuthor(s): Zachi I Attia, Peter A Noseworthy, Francisco Lopez-Jimenez, Samuel J Asirvatham, Abhishek J Deshmukh, Bernard J Gersh, Rickey E Carter, Xiaoxi Yao, Alejandro A Rabinstein, Brad J Erickson, Suraj Kapa, Paul A FriedmanSummaryBackgroundAtrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial ...
Source: The Lancet - August 2, 2019 Category: General Medicine Source Type: research

Published Study Supports MyoKardia ’s Wrist-Worn Biosensor
MyoKardia’s said data on its wrist-worn digital health device was published in an article titled, “Machine Learning Detection of Obstructive Hypertrophic Cardiomyopathy (oHCM) Using a Wearable Biosensor,” in the Nature Partner Journal, Digital Medicine. The South San Francisco-based company said results from an exploratory study provided encouraging evidence of the potential for a wrist-worn biosensor to screen for obstructive hypertrophic cardiomyopathy. The study demonstrated that continuous monitoring using a wrist-worn photoplethysmography (PPG) digital health devic...
Source: MDDI - June 24, 2019 Category: Medical Devices Authors: MDDI Staff Tags: Business Cardiovascular Source Type: news

The usefulness of case studies in a Virtual Clinical Environment (VCE) multimedia courseware in nursing.
Authors: Bonito SR Abstract Clinical practicum is a major component in nursing education. Students are able to apply their classroom learning to the actual care setting. The clinical practicum setting must provide an authentic environment where students can maximize learning opportunities and demonstrate knowledge, skills, and attitude in caring for patients. Herein lies the challenge. The real world setting and timing may not be enough for students to learn the many complex tasks demanded as course outcomes and expected competencies. The purpose of this study was to describe the usefulness of using multimedia case...
Source: Journal of Medical Investigation - May 10, 2019 Category: General Medicine Tags: J Med Invest Source Type: research

Potential Applications of Remote Limb Ischemic Conditioning for Chronic Cerebral Circulation Insufficiency
Conclusion Due to its long-term and often invisible course, CCCI has received less attention than acute cerebral ischemic stroke. However, without appropriate intervention, CCCI may lead to a variety of adverse events. Because the pathophysiological changes associated with CCCI are complex, pharmacological research in this area has been disappointing. Recent research suggests that RLIC, which is less invasive and more well-tolerated than drug treatment, can activate endogenous protective mechanisms during CCCI. In the present report, we reviewed studies related to CCCI (Table 1), as well as those related to stroke and sta...
Source: Frontiers in Neurology - May 2, 2019 Category: Neurology Source Type: research

Preventing brain embolism by using a modified isolation technique in transcatheter aortic valve implantation for a patient with shaggy and porcelain aorta
We report a case of TAVI in a shaggy and porcelain aorta and prevention of cerebral embolism by adopting a modified isolation technique without using conventional protection devices.>
Source: Journal of Cardiology Cases - May 2, 2019 Category: Cardiology Source Type: research