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PNR Weekly Digest: April 6, 2021
Items regarding COVID-19 information are indicated with an * In the Dragonfly: Understanding End-of-Life Matters Whether your focus of concern is on a family member or yourself, this April the NNLM Reading Club suggests three books that may help with your understanding of end-of-life matters and those conversations you probably have been putting off…read the post to see the book selections Professional Development: NNLM CE Opportunities: NNLM offers training on a variety of topics related to health information. A complete listing of NNLM educational opportunities is available. Please note you need to create an NNLM accou...
Source: Dragonfly - April 6, 2021 Category: Databases & Libraries Authors: Carolyn Martin Tags: PNR Weekly Digest Source Type: news

Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model
AbstractThe World Health Organization(WHO) estimated that in 2016, 1.6 million deaths caused were due to diabetes. Precise and on-time diagnosis of type-II diabetes is crucial to reduce the risk of various diseases such as heart disease, stroke, kidney disease, diabetic retinopathy, diabetic neuropathy, and macrovascular problems. The non-invasive methods like machine learning are reliable and efficient in classifying the people subjected to type-II diabetics risk and healthy people into two different categories. This present study aims to develop a stacking-based integrated kernel extreme learning machine (KELM) model for...
Source: Medical and Biological Engineering and Computing - March 18, 2021 Category: Biomedical Engineering 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

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 | DOI:10.1016/j.biopha.2021.111367
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 15, 2021 Category: Drugs & Pharmacology Authors: Shu-Jie Xia Bi-Zhen Gao Shui-Hua Wang David S Guttery Can-Dong Li Yu-Dong Zhang Source Type: research

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

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

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

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

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

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

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

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

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