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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

Overset meshing in combination with novel blended weak-strong fluid-structure interactions for simulations of a translating valve in series with a second valve
This study developed a combined computational fluid dynamics and fluid-structure interaction (FSI) methodology for simulating positive displacement bileaflet valves. Overset meshing discretised the fluid domain, and a blended weak-strong coupling FSI algorithm was combined with variable time-stepping. Four operating conditions of relevant stroke lengths and rates were assessed. The results demonstrated this modelling strategy is stable and efficient for modelling positive-displacement artificial hearts.PMID:37071538 | DOI:10.1080/10255842.2023.2199903
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 18, 2023 Category: Biomedical Engineering Authors: J Bornoff H S Gill A Najar I L Perkins A N Cookson K H Fraser Source Type: research

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

A Novel Hybrid Membrane VAD as First Step Toward Hemocompatible Blood Propulsion.
P, Potapov E, Falk V, Mazza E Abstract Heart failure is a raising cause of mortality. Heart transplantation and ventricular assist device (VAD) support represent the only available lifelines for end stage disease. In the context of donor organ shortage, the future role of VAD as destination therapy is emerging. Yet, major drawbacks are connected to the long-term implantation of current devices. Poor VAD hemocompatibility exposes the patient to life-threatening events, including haemorrhagic syndromes and thrombosis. Here, we introduce a new concept of artificial support, the Hybrid Membrane VAD, as a first-of-its...
Source: Annals of Biomedical Engineering - September 7, 2020 Category: Biomedical Engineering Authors: Ferrari A, Giampietro C, Bachmann B, Bernardi L, Bezuidenhhout D, Ermanni P, Hopf R, Kitz S, Kress G, Loosli C, Marina V, Meboldt M, Pellegrini G, Poulikakos D, Rebholz M, Schmid Daners M, Schmidt T, Starck C, Stefopoulos G, Sündermann S, Thamsen B, Zill Tags: Ann Biomed Eng Source Type: research

Novel Optical Position Sensing for Miniaturized Applications and Validation in a Total Artificial Heart
Conclusion: The extensive validation resulted in an accurate, miniature PSS for a TAH. Significance: Besides the use in a TAH, the presented PSS's can be employed in a wide use of miniaturized applications. The introduced testing method allows the validation for general miniaturized applications, e.g., linear motor drives.
Source: IEEE Transactions on Biomedical Engineering - February 19, 2016 Category: Biomedical Engineering Source Type: research