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Condition: Coronary Heart Disease
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Total 34 results found since Jan 2013.

Cardiac disease prediction using AI algorithms with SelectKBest
AbstractAtherosclerotic cardiovascular disease (ASCVD), which includes coronary heart disease (CHD) and ischemic stroke, is the leading cause of mortality globally. According to the European Society of Cardiology (ESC), 26 million people worldwide have heart disease, with 3.6 million diagnosed each year. Early detection of heart disease will aid in lowering the mortality rate. The lack of diversity in training data and the difficulty in comprehending the findings of complicated AI models are the key issues in current research for heart disease prediction using artificial intelligence. To overcome this, in this paper, cardi...
Source: Medical and Biological Engineering and Computing - September 8, 2023 Category: Biomedical Engineering Source Type: research

Billions With Nutrition Deficiency!?
Almost no one gets enough selenium. Officially, at least a billion — with a B — people have a selenium deficiency.1 But I suspect the numbers are much higher than that. You can’t get enough selenium from food alone anymore. That’s true even if you eat a healthy, varied diet. And you can thank Big Agra for that. With their harsh pesticides, synthetic fertilizers, and single-crop strategy, these massive farms have stripped the nutrients out of the soil. No nutrients in the soil mean no nutrients in the food. All of this makes it difficult — if not impossible — to get even some of the daily selenium you need to ...
Source: Al Sears, MD Natural Remedies - May 15, 2023 Category: Complementary Medicine Authors: Jacob Tags: Anti-Aging Nutrition Source Type: news

Association between seropositivity for toxocariasis and cognitive functioning in older adults: an analysis of cross-sectional data from the US National Health and Nutrition Examination Survey (NHANES), 2011-2014
Conclusions In our study, seropositive toxocariasis was independently and significantly associated with worse working memory, sustained attention, processing speed and global cognition in older adults. If this association is causal, public health measures to prevent human toxocariasis might help protect older adults’ cognitive function.
Source: BMJ Open - March 1, 2023 Category: General Medicine Authors: Song, G., Yang, C., Qu, Z., Lin, X., Liu, M., Wang, Y. Tags: Open access, Epidemiology Source Type: research

Sensors, Vol. 23, Pages 1161: Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction
In this study, a supervised ML-based methodology is presented through which we aim to design efficient prediction models for CVD manifestation, highlighting the SMOTE technique’s superiority. Detailed analysis and understanding of risk factors are shown to explore their importance and contribution to CVD prediction. These factors are fed as input features to a plethora of ML models, which are trained and tested to identify the most appropriate for our objective under a binary classification problem with a uniform class probability distribution. Various ML models were evaluated after the use or non-use of Synt...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Elias Dritsas Maria Trigka Tags: Article Source Type: research

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research

Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review
Diagnostics (Basel). 2022 May 17;12(5):1249. doi: 10.3390/diagnostics12051249.ABSTRACTPURPOSE: The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic pathway. Cardiovascular disease (CVD)/stroke risk has been widely understood with the help of carotid artery disease (CTAD), a surrogate biomarker for CHD. The proposed study emphasizes artificial intelligence-based frameworks such as machine learning (ML) and deep learning (DL) that can accurately predict the severity of CVD/stroke risk using carotid wall arterial imaging in ED ...
Source: Atherosclerosis - May 28, 2022 Category: Cardiology Authors: Narendra N Khanna Mahesh Maindarkar Ajit Saxena Puneet Ahluwalia Sudip Paul Saurabh K Srivastava Elisa Cuadrado-Godia Aditya Sharma Tomaz Omerzu Luca Saba Sophie Mavrogeni Monika Turk John R Laird George D Kitas Mostafa Fatemi Al Baha Barqawi Martin Miner Source Type: research

Exercise medicine and physical activity promotion: core curricula for US medical schools, residencies and sports medicine fellowships: developed by the American Medical Society for Sports Medicine and endorsed by the Canadian Academy of Sport and Exercise Medicine
Regular physical activity provides a variety of health benefits and is proven to treat and prevent several non-communicable diseases. Specifically, physical activity enhances muscular and osseous strength, improves cardiorespiratory fitness, and reduces the risk of hypertension, coronary heart disease, stroke, type 2 diabetes, mental health disorders, cognitive decline and several cancers. Despite these well-known benefits, physical activity promotion in clinical practice is underused due to insufficient training during medical education. Medical trainees in the USA receive relatively few hours of instruction in sports and...
Source: British Journal of Sports Medicine - March 17, 2022 Category: Sports Medicine Authors: Asif, I., Thornton, J. S., Carek, S., Miles, C., Nayak, M., Novak, M., Stovak, M., Zaremski, J. L., Drezner, J. Tags: Editor's choice, BJSM Consensus statement Source Type: research

The New Era of Retinal Imaging in Hypertensive Patients
Structural and functional alterations in the microcirculation by systemic hypertension can cause significant organ damage at the eye, heart, brain, and kidneys. As the retina is the only tissue in the body that allows direct imaging of small vessels, the relationship of hypertensive retinopathy signs with development of disease states in other organs have been extensively studied; large-scale epidemiological studies using fundus photography and advanced semi-automated analysis software have reported the association of retinopathy signs with hypertensive end-organ damage includes the following: stroke, dementia, and coronar...
Source: Asia-Pacific Journal of Ophthalmology - March 1, 2022 Category: Opthalmology Tags: Review Article Source Type: research

Exercise medicine and physical activity promotion: core curricula for US medical schools, residencies and sports medicine fellowships: developed by the American Medical Society for Sports Medicine and endorsed by the Canadian Academy of Sport and Exercise Medicine
Br J Sports Med. 2022 Jan 10:bjsports-2021-104819. doi: 10.1136/bjsports-2021-104819. Online ahead of print.ABSTRACTRegular physical activity provides a variety of health benefits and is proven to treat and prevent several non-communicable diseases. Specifically, physical activity enhances muscular and osseous strength, improves cardiorespiratory fitness, and reduces the risk of hypertension, coronary heart disease, stroke, type 2 diabetes, mental health disorders, cognitive decline and several cancers. Despite these well-known benefits, physical activity promotion in clinical practice is underused due to insufficient trai...
Source: British Journal of Sports Medicine - January 11, 2022 Category: Sports Medicine Authors: Irfan Asif Jane S Thornton Stephen Carek Christopher Miles Melissa Nayak Melissa Novak Mark Stovak Jason L Zaremski Jonathan Drezner Source Type: research

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
AbstractThe study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek cohort of 542 individuals with rheumatoid arthritis, or diabetes mellitus, and/or arterial hypertension, using conventional or office-based, laboratory-based blood biomarkers and carotid/femoral ultrasound image-based phenotypes. Two kinds of data (CVD risk factors and presence of CVD —defined as stroke, or myocardial infarction, or coronary artery syndrome, or peripheral artery disease, or coronary heart disease) as ground truth, were co...
Source: Rheumatology International - January 11, 2022 Category: Rheumatology Source Type: research

Cardiovascular risk prediction in healthy older people
AbstractIdentification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants  ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a m achine-learning approach. Cox regression analyses were used to calculate 5-year p...
Source: AGE - November 11, 2021 Category: Geriatrics Source Type: research

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research