Custom machine learning algorithm for large-scale disease screening-taking heart disease data as an example
Heart disease accounts for millions of deaths worldwide annually, representing a major
public health concern. Large-scale heart disease screening can yield significant benefits …
public health concern. Large-scale heart disease screening can yield significant benefits …
Heart Disease Prediction Using Different Machine Learning Algorithms
Heart disease (HD) cases are increasing rapidly every day, so it is very crucial to detect
them beforehand. In recent times, machine learning algorithms (MLA) are trending for heart …
them beforehand. In recent times, machine learning algorithms (MLA) are trending for heart …
Heart disease prediction using machine learning
S Bilgaiyan, TI Ayon, AA Khan… - 2023 International …, 2023 - ieeexplore.ieee.org
Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the
disease is called heart disease. Heart disease can have many causes, but high blood …
disease is called heart disease. Heart disease can have many causes, but high blood …
Shear capacity prediction for reinforced concrete deep beams with web openings using artificial intelligence methods
M Saleh, M AlHamaydeh, M Zakaria - Engineering Structures, 2023 - Elsevier
The prediction of nominal shear capacity (V n) of reinforced concrete (RC) deep beams with
web openings is quite complex due to their highly nonlinear behavior. In this paper, Artificial …
web openings is quite complex due to their highly nonlinear behavior. In this paper, Artificial …
Predictive Analytics for Heart Disease Detection: A Machine Learning Approach
SPR Kamala, S Gayathri, NM Pillai… - … on Electronics and …, 2023 - ieeexplore.ieee.org
One of the most life-threatening diseases that causes human beings to suffer is heart
disease. According to WHO report, more than 17.9 million people are affected and raised to …
disease. According to WHO report, more than 17.9 million people are affected and raised to …
Analysis of patient data to explore cardiovascular risk factors
According to the World Health Organisation, cardiovascular diseases claim over 17.9 million
lives yearly on a global scale. Hence, cardiovascular diseases are responsible for 32 …
lives yearly on a global scale. Hence, cardiovascular diseases are responsible for 32 …
Towards early diagnosis and intervention: An ensemble voting model for precise vital sign prediction in respiratory disease
U Ahmed, JCW Lin, G Srivastava - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Worldwide, cardiovascular and chronic respiratory diseases account for approximately 19
million deaths annually. Evidence indicates that the ongoing COVID-19 pandemic directly …
million deaths annually. Evidence indicates that the ongoing COVID-19 pandemic directly …
Cardiovascular diseases diagnosis by impedance cardiography
Cardiovascular disease (CVD) represents the leading cause of mortality worldwide. In order
to diagnose CVDs, there are a range of detection methods, among them, the impedance …
to diagnose CVDs, there are a range of detection methods, among them, the impedance …
Heart Disease Prediction Using Hybrid Machine Learning: A Brief Review
M Ahmed, I Husien - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Cardiovascular disease is a widespread and potentially fatal condition that requires
proactive preventive measures and efficient screening approaches on a global scale. To …
proactive preventive measures and efficient screening approaches on a global scale. To …
MLHeartDisPrediction: heart disease prediction using machine learning
M Radwan, N Mohamed Abdelrahman… - Journal of Computing …, 2023 - journals.ekb.eg
Predicting critical health conditions in their early stages can make the difference between life
and death, and one such health condition is heart disease. Over the last decade, the main …
and death, and one such health condition is heart disease. Over the last decade, the main …