Empirical exploration of whale optimisation algorithm for heart disease prediction

SA Atimbire, JK Appati, E Owusu - Scientific Reports, 2024 - nature.com
Heart Diseases have the highest mortality worldwide, necessitating precise predictive
models for early risk assessment. Much existing research has focused on improving model …

[HTML][HTML] Spline Estimator in Nonparametric Ordinal Logistic Regression Model for Predicting Heart Attack Risk

N Chamidah, B Lestari, H Susilo, MY Alsagaff… - Symmetry, 2024 - mdpi.com
In Indonesia, one of the main causes of death for both young and elderly people is heart
attacks, and the main cause of heart attacks is non-communicable diseases such as …

Performance Analysis of Heart Disease Prediction using Kernels in Support Vector Machine Model

MS Anggreainy - 2024 4th International Conference of Science …, 2024 - ieeexplore.ieee.org
Linear data is a collection of data that is linearly separated by a straight line and nonlinear
data is a collection of data that is not separated by a line. Usually, non-linear data is …

Optimizing Logistic Regression Model for Heart Disease Prediction with Machine Learning

MS Ahammed, MM Rahman, MB Uddin… - 2024 Seventh …, 2024 - ieeexplore.ieee.org
Nowadays, heart disease is a serious medical issue, and diagnosis is crucial to providing
the proper treatment to the patient. Hence, machine learning (ML)-based early diagnosis of …

Establishing a Model for the Classification of Heart Attack and Identification of Associated Risk Factors with Machine Learning Methods

Z Doğan, Z Küçükakçalı - ODÜ Tıp Dergisi, 2023 - dergipark.org.tr
Object: Increased survival rates in heart attacks (HAs) depend on early intervention and
treatment. In this study, it is aimed to predict the factors that may be associated with HA and …

The Discriminant Analysis Function Was Implemented to Predict the Presence of Diabetes

HP Wibowo, M Anshori… - Journal of Enhanced …, 2024 - jesica.itsk-soepraoen.ac.id
Diabetes is a condition blood sugar concentrations are high and there is something wrong
with insulin inside the body. A hormone called insulin controls the equilibrium of blood sugar …

[PDF][PDF] Exploring Predictive Factors for Heart Disease: A Comprehensive Analysis Using Logistic Regression

H Wang - rochester.edu
This study investigates the predictive factors for heart disease utilizing logistic regression
analysis on a dataset contains various health indicators. By using a backward elimination …

[PDF][PDF] A Hybrid Algorithm for Multiple Disease Prediction: Radial Basis Function and Logistic Regression

AS Fadhillah Azmi - inrein.com
Disease prediction is an important aspect of modern medicine, which aims to diagnose
disease early and provide appropriate treatment to patients. This research uses a hybrid …