Machine Learning Algorithms for The Classification of Cardiovascular Disease- A Comparative Study
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- Type
- article
- Published
- 2021-07-14
- Cited by
- 19
- References
- 0
- OpenAlex
- https://openalex.org/W3186233728
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:236482010
Keywords
Support vector machine, Machine learning, Naive Bayes classifier, Artificial intelligence, Computer science
References
Cited by
- Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review
- AI based Dynamic Prediction Model for Mobile Health Application System
- Machine Learning to Predict Cardiovascular Disease: Systematic Meta-Analysis
- A hybrid recommender system for health supplement e-commerce based on customer data implicit ratings
- Survey of Accuracy Prediction on the PlantVillage Dataset using different ML techniques
- An Efficient Computational Risk Prediction Model of Heart Diseases Based on Dual-Stage Stacked Machine Learning Approaches
- Prediction of Cardiovascular Disease using Machine Learning Algorithms
- Computational analysis of dystopian elements in the partition fiction: A machine learning approach to the indian English novels
- Predicted Multi-Chronic Disease by Supervised Machine Learning Algorithms: Performance and Evaluation
- Automatic Data-Driven Classification Systems for Cardiovascular Disease
- Forecasting Emergency Department in Hospitals Using Regression Prediction Models
- Harnessing Machine Learning for Accurate Cardiovascular Disease Prediction
- Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering
- A Comparative Analysis of Machine Learning Classification Algorithms for Cardiovascular Disease Prediction
- Classification of Heart Failure Using Machine Learning: A Comparative Study
- AI for Personalized Treatment Recommendations in Cardiovascular Health
- Machine Learning Algorithms for Diseases Prediction: A Systematic Review
- Reseek-Arrhythmia: Empirical Evaluation of Resnet Architecture for Detection of Arrhythmia
- AI based Dynamic Prediction Model for Mobile Health Application System
- Predicting Cardiovascular Disease with Ensemble and Calibration-Aware Machine Learning Models for Clinical Decision Support
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