[PDF][PDF] A comprehensive review on heart disease prediction using data mining and machine learning techniques
Heart disease is one of the major causes of life complicacies and subsequently leading to
death. The heart disease diagnosis and treatment are very complex, especially in the …
death. The heart disease diagnosis and treatment are very complex, especially in the …
A method for improving prediction of human heart disease using machine learning algorithms
A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases …
and improvements in techniques, especially in the identification of human heart diseases …
[HTML][HTML] The complementary roles of genome-wide approaches in identifying genes linked to an inherited risk of colorectal cancer
O Ahmad, A Försti - Hereditary Cancer in Clinical Practice, 2023 - Springer
The current understanding of the inherited risk of colorectal cancer (CRC) started with an
observational clinical era in the late 19th century, which was followed by a genetic era …
observational clinical era in the late 19th century, which was followed by a genetic era …
[HTML][HTML] Mixed machine learning approach for efficient prediction of human heart disease by identifying the numerical and categorical features
Heart disease is a danger to people's health because of its prevalence and high mortality
risk. Predicting cardiac disease early using a few simple physical indications collected from …
risk. Predicting cardiac disease early using a few simple physical indications collected from …
[HTML][HTML] Cardiovascular and diabetes diseases classification using ensemble stacking classifiers with SVM as a meta classifier
Cardiovascular disease includes coronary artery diseases (CAD), which include angina and
myocardial infarction (commonly known as a heart attack), and coronary heart diseases …
myocardial infarction (commonly known as a heart attack), and coronary heart diseases …
[HTML][HTML] IoT-Enabled Classification of Echocardiogram Images for Cardiovascular Disease Risk Prediction with Pre-Trained Recurrent Convolutional Neural Networks
C Balakrishnan, VD Ambeth Kumar - Diagnostics, 2023 - mdpi.com
Cardiovascular diseases currently present a key health concern, contributing to an increase
in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a …
in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a …
A compassion of three data miming algorithms for heart disease prediction
Heart disease is one of the most common causes of death worldwide. Real-time methods for
forecasting heart disease from medical data sources that explain a patient's current health …
forecasting heart disease from medical data sources that explain a patient's current health …
A comparative study of heart disease prediction using machine learning techniques
Since early diagnosis of heart disease plays an important role in the survival of individuals,
the classification method, which is one of the machine learning techniques, is used in the …
the classification method, which is one of the machine learning techniques, is used in the …
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 …
Comprehensive analysis of feature selection on early heart Strok prediction
A stroke is a medicinal exigency and requires early prognosis in accordance with damage to
the brain from intrusion of its blood circulation, therefore, early diagnosis helps, medical …
the brain from intrusion of its blood circulation, therefore, early diagnosis helps, medical …