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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

Starting Pediatric VAD Program: Transforming Challenges into Opportunities; A Case Series of a Single Center
CONCLUSIONS: To establish a VAD program, numerous specialties must be included with adequate training and learning for all team members.PMID:37679088 | DOI:10.59958/hsf.5545
Source: The Heart Surgery Forum - September 7, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Matija Bako š Milivoj Novak Dalibor Šarić Dorotea Bartoni ček Dra žen Belina Željko Đurić Darko Ani ć Željko Čolak Sanja Konosi ć Marina Mihalec Filip Rubi ć Toni Mati ć Goran Me đimurec Mislav Planinc Source Type: research

Sensors, Vol. 23, Pages 5618: Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation
s D. Zink Atrial fibrillation (AF) is an arrhythmic cardiac disorder with a high and increasing prevalence in aging societies, which is associated with a risk for stroke and heart failure. However, early detection of onset AF can become cumbersome since it often manifests in an asymptomatic and paroxysmal nature, also known as silent AF. Large-scale screenings can help identifying silent AF and allow for early treatment to prevent more severe implications. In this work, we present a machine learning-based algorithm for assessing signal quality of hand-held diagnostic ECG devices to prevent misclassification due to insu...
Source: Sensors - June 15, 2023 Category: Biotechnology Authors: Markus Lueken Michael Gramlich Steffen Leonhardt Nikolaus Marx Matthias D. Zink Tags: Article Source Type: research

Cardiac transplant and exercise cardiac rehabilitation
AbstractCardiac transplantation is the final therapeutic option for patients with end-stage heart failure. Most patients experience a favorable functional ability post-transplant. However, episodes of acute rejection, and multiple comorbidities such as hypertension, diabetes mellitus, chronic kidney disease and cardiac allograft vasculopathy are common. The number of transplants has increased steadily over the past two decades with 3,817 operations performed in the United States in 2021. Patients have abnormal exercise physiologic responses related to surgical cardiac denervation, diastolic dysfunction, and the legacy of r...
Source: Heart Failure Reviews - April 4, 2023 Category: Cardiology Source Type: research

MRI for all: Cheap portable scanners aim to revolutionize medical imaging
.news-article__hero--featured .parallax__element{ object-position: 47% 50%; -o-object-position: 47% 50%; } The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing. The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics Source Type: research

Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques
Int J Telemed Appl. 2021 Aug 27;2021:6624057. doi: 10.1155/2021/6624057. eCollection 2021.ABSTRACTObesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity,...
Source: International Journal of Telemedicine and Applications - September 6, 2021 Category: Information Technology Authors: Sylvester M Sefa-Yeboah Kwabena Osei Annor Valencia J Koomson Firibu K Saalia Matilda Steiner-Asiedu Godfrey A Mills Source Type: research

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