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Total 268 results found since Jan 2013.

10 New Year's Resolutions Doctors Actually Want You to Make
Each year, Americans’ most popular New Year’s resolutions are more or less the same: get healthy, get organized, save money. But doctors at the American Medical Association (AMA) have some more specific thoughts in mind for 2019. The AMA this week released a list of 10 wellness-focused resolutions that could “help Americans make the most impactful, long-lasting improvements to their health in 2019.” Here’s what they are — and how to make them happen. Learn your risk for type 2 diabetes Diabetes is one of the most common chronic health conditions in the U.S., affecting an estimated 30 mil...
Source: TIME: Health - December 21, 2018 Category: Consumer Health News Authors: Jamie Ducharme Tags: Uncategorized healthytime Holidays 2018 public health Source Type: news

Heart disease classification using hybridized Ruzzo-Tompa memetic based deep trained Neocognitron neural network
AbstractAccording to the survey 17.5 million deaths are happened due to the cardiovascular disease that leads to create heart attack, chest pain and stroke. Based on the survey it clearly concludes that most of the people affected by heart problem that need to be identified in the earlier stage for eliminating the future risk in patient health. The importance of the heart disease detection process helps to create the earlier detection system for identifying heart problem by using machine learning and optimized techniques but the developed forecasting systems are difficult to predict the heart problems in an accurate manner...
Source: Health and Technology - January 9, 2019 Category: Information Technology Source Type: research

Superbugs, Anti-Vaxxers Make WHO ’ s List Of 10 Global Health Threats
(CNN) — From climate change to superbugs, the World Health Organization has laid out 10 big threats to our global health in 2019. And unless these threats get addressed, millions of lives will be in jeopardy. Here’s a snapshot of 10 urgent health issues, according to the United Nations’ public health agency: Not vaccinating when you can One of the most controversial recent health topics in the US is now an international concern. “Vaccine hesitancy — the reluctance or refusal to vaccinate despite the availability of vaccines — threatens to reverse progress made in tackling vaccine-prevent...
Source: WBZ-TV - Breaking News, Weather and Sports for Boston, Worcester and New Hampshire - January 21, 2019 Category: Consumer Health News Authors: Health – CBS Boston Tags: Health News CNN Local TV Source Type: news

10 Biggest Myths About Sleeping, According To Researchers
(CNN) — Hey, sleepyheads. What you believe about sleep may be nothing but a pipe dream. Many of us have notions about sleep that have little basis in fact and may even be harmful to our health, according to researchers at NYU Langone Health’s School of Medicine, who conducted a study published Tuesday in the journal Sleep Health. “There’s such a link between good sleep and our waking success,” said lead study investigator Rebecca Robbins, a postdoctoral research fellow in the Department of Population Health at NYU Langone Health. “And yet we often find ourselves debunking myths, whether ...
Source: WBZ-TV - Breaking News, Weather and Sports for Boston, Worcester and New Hampshire - April 16, 2019 Category: Consumer Health News Authors: Health – CBS Boston Tags: Health Healthwatch News CNN Sleep Source Type: news

Facebook Makes Its Healthcare Debut
Cristin Moran, CEO of Growth Science, said it best last week at MD&M Minneapolis when she said almost every industry is interested in healthcare. We've already seen Apple, Amazon, Microsoft, and Google make power moves in healthcare, so it should come as no surprise that Facebook has now made its healthcare debut. The social media giant announced this week that it is developing products and partnerships aimed at connecting people with healthcare resources, starting with a new Preventive Health tool for U.S. consumers. Facebook said it is working with U.S. health organizations to offer the new tool, which is...
Source: MDDI - October 30, 2019 Category: Medical Devices Authors: Amanda Pedersen Tags: Digital Health Source Type: news

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

A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs
AbstractAtrial fibrillation (AF) is an irregular and rapid heart rate that can increase the risk of various heart-related complications, such as the stroke and the heart failure. Electrocardiography (ECG) is widely used to monitor the health of heart disease patients. It can dramatically improve the health and the survival rate of heart disease patients by accurately predicting the AFs in an ECG. Most of the existing researches focus on the AF detection, but few of them explore the AF prediction. In this paper, we develop a recurrent neural network (RNN) composed of stacked LSTMs for AF prediction, which called SLAP. This ...
Source: Health Information Science and Systems - April 20, 2020 Category: Information Technology Source Type: research

Consider the Promises and Challenges of Medical Image Analyses Using Machine Learning
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology. Images are the largest source...
Source: MDDI - June 2, 2020 Category: Medical Devices Authors: Partha S. Anbil and Michael T. Ricci Tags: Imaging Source Type: news

Biventricular imaging markers to predict outcomes in non ‐compaction cardiomyopathy: a machine learning study
ConclusionsOur findings show the importance of biventricular assessment to detect the severity of this cardiomyopathy and to plan for early clinical intervention. In addition, this study shows that even patients with normal LV function and negative late gadolinium enhancement had MACE. ML is a promising tool for analysing a large set of parameters to stratify and predict prognosis in LVNC patients.
Source: ESC Heart Failure - June 29, 2020 Category: Cardiology Authors: Camila Rocon, Mahdi Tabassian, Marcelo Dantas Tavares de Melo, Jose Arimateia Araujo Filho, Cesar Jos é Grupi, Jose Rodrigues Parga Filho, Edimar Alcides Bocchi, Jan D'hooge, Vera Maria Cury Salemi Tags: Original Research Article Source Type: research

Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm
AbstractTo investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57  years). The most common indications were known or suspected ischemic heart disease, cardiomyopathies or myocarditis. Fully automated analysis of LV volumes and function was performed using a deep learning-based algorithm. The analysis was subsequently corrected by a senior cardiovascular radiologi st. Manual volumetric analysis was performed by two radiology trainees. Vol...
Source: The International Journal of Cardiovascular Imaging - July 15, 2020 Category: Radiology Source Type: research

What Are the Main Acyanotic Congenital Heart Diseases?
Discussion Congenital heart diseases (CHD) are malformations of the heart and great vessels. It occurs in about 5-8/1000 live births. Cyanotic congenital heart disease is often noted perinatally because of cyanosis, respiratory distress and/or poor feeding or other distress type problems. A review can be found here. Acyanotic congenital heart disease (ACHD) can present at birth but often is seen in older children or adults unless the lesions are severe, especially obstructive lesions. Severe lesions may also cause cyanosis and distress type problems in patients also. Shunting lesions cause problems by diverting blood flo...
Source: PediatricEducation.org - August 17, 2020 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news

Characteristic of Clinical Studies on Baduanjin during 2000-2019: A Comprehensive Review.
Authors: Zhou J, Yu Y, Cao B, Li X, Wu M, Wen T, Xiong Y, Jia J, Zhao Y Abstract To date, a growing number of clinical studies have demonstrated the safety and health benefits from Baduanjin intervention. Based on this, our objective is to systematically retrieve and summarize the clinical studies on Baduanjin, with a view to providing more evidence-based evidence in support of the application of Baduanjin for healthcare, and to identify the shortcomings of existing research and provide feasibility suggest for further clinical research. Both four English language and four Chinese language electronic databases were ...
Source: Evidence-based Complementary and Alternative Medicine - November 6, 2020 Category: Complementary Medicine Tags: Evid Based Complement Alternat Med Source Type: research

Consumer Health: Chemotherapy and heart disease -- is there a connection?
Chemotherapy works by killing rapidly dividing cancer cells. But chemotherapy also can destroy fast-growing healthy cells at the same time. This may cause side effects. Some conventional chemotherapy drugs used to treat cancer also can increase your risk of heart problems later in life, including heart attack, stroke and high blood pressure. Learn more about [...]
Source: News from Mayo Clinic - February 2, 2021 Category: Databases & Libraries Source Type: news

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes.
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS. PMID: 33588265 [PubMed - as supplied by publisher]
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 12, 2021 Category: Drugs & Pharmacology Authors: Xia SJ, Gao BZ, Wang SH, Guttery DS, Li CD, Zhang YD Tags: Biomed Pharmacother Source Type: research

How Common are Aortic Aneurysms?
Discussion Aortic root dilatation or thoracic aortic aneurysm occurs in 6:100,000 individuals > 50 years of age. It is due to aging, hypertension, hypercholesterolemia, and smoking. Tertiary syphilis was a cause in the preantibiotic era. Pediatric aneurysms are very uncommon but the exact prevalence is different due to the various causes. Aneurysms are due to genetic disorders, congenital anomalies or post-surgical repair. In pediatric patients with sudden cardiac deaths, 5.4% are due to ruptured thoracic aortic aneurysms. Learning Point Some causes of pediatric aneurysms include: Familial thoracic aneurysm and dissect...
Source: PediatricEducation.org - February 22, 2021 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news