AIMC Topic: Heart Diseases
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Neural-symbolic hybrid model for myosin complex in cardiac ventriculum decodes structural bases for inheritable heart disease from its genetic encoding.
Archives of biochemistry and biophysics
Jan 30, 2025
BACKGROUND: Human ventriculum myosin (βmys) powers contraction sometimes in complex with myosin binding protein C (MYBPC3). The latter regulates βmys activity and impacts cardiac function. Single residue variants (SRVs) change protein sequence in βmy...
A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning.
BMC geriatrics
Jan 11, 2025
OBJECTIVE: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.
Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data.
Scientific reports
Jan 8, 2025
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often lea...
A novel fuzzy three-valued logic computational framework in machine learning for medicine dataset.
Computers in biology and medicine
Jan 2, 2025
For consideration of uncertainties of a medicine dataset, a new conceptual architecture fuzzy three-valued logic is introduced in this research work. The proposed concept is applied to the heart disease dataset for the assessment of heart disease ris...
A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection.
Computers in biology and medicine
Dec 3, 2024
Heart diseases remain one of the leading causes of death worldwide. As a result, early and accurate diagnostics have become an urgent need for treatment and management. Most of the conventional methods adopted tend to have major drawbacks: the issues...
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology.
Minerva cardiology and angiology
Nov 13, 2024
The chest X-ray (CXR) has a wide range of clinical indications in the field of cardiology, from the assessment of acute pathology to disease surveillance and screening. Despite many technological advancements, CXR interpretation error rates have rema...
Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN).
Scientific reports
Oct 31, 2024
Heart disease is a complex and widespread illness that affects a significant number of people worldwide. Machine learning provides a way forward for early heart disease diagnosis. A classification model has been developed for the present study to pre...
A novel approach for heart disease prediction using hybridized AITHO algorithm and SANFIS classifier.
Network (Bristol, England)
Sep 25, 2024
In today's world, heart disease threatens human life owing to higher mortality and morbidity across the globe. The earlier prediction of heart disease engenders interoperability for the treatment of patients and offers better diagnostic recommendatio...
Effective cardiac disease classification using FS-XGB and GWO approach.
Medical engineering & physics
Sep 16, 2024
Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their impact can be greatly mitigated by early detection and treatment. Machine learning (ML)-based algorithms that use features extracted from electrocardiogram (ECG) si...
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