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AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease

https://doi.org/10.1155/2022/9005278
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Performance of different Machine Learning Techniques for the Prediction of Heart Diseases
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Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches, a prototype design
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Early Detection of Spondylosis using Point-Based Image Processing Techniques
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A coronary heart disease prediction model: the Korean Heart Study
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
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Multilocus Genetic Risk Scores for Coronary Heart Disease Prediction
inferredcites →https://doi.org/10.1161/cir.0b013e31820a55f5openalex-snapshot
Forecasting the Future of Cardiovascular Disease in the United States
inferredcites →https://doi.org/10.14419/ijet.v7i2.8.10557openalex-snapshot
Heart disease prediction using machine learning techniques : a survey
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A Novel Ensemble Classifier based Classification on Large Datasets with Hybrid Feature Selection Approach
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Classification and Regression Trees.
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node2vec: Scalable Feature Learning for Networks
inferredcites →https://doi.org/10.5120/2237-2860openalex-snapshot
Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction
inferredcites →https://doi.org/10.5120/2368-3115openalex-snapshot
Decision Support System for Congenital Heart Disease Diagnosis based on Signs and Symptoms using Neural Networks
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Ensemble Decision Tree Classifier For Breast Cancer Data
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Intelligent Heart Disease Prediction System Using Canfis And Genetic Algorithm
inferredcites →https://doi.org/10.5281/zenodo.6787823openalex-snapshot
Heart Disease Prediction System Using Naïve Bayes

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