A Novel Cluster And Rank Based Method For Prediction Of Heart Diseases
Heart disease is a leading cause of death worldwide, and early prediction is crucial for effective prevention and management. A novel cluster and rank-based method for prediction of heart disease involves using machine learning algorithms to cluster patients based on similar risk factors and rank them based on their likelihood of developing cardiovascular disease. This method utilizes feature selection techniques to identify the most important risk factors and uses a classification model to predict the risk of heart disease based on these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC. This approach has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify subgroups of patients with similar risk profiles, and the potential to integrate data from electronic health records and other sources.
Mehr anzeigenSofort verfügbar, Lieferzeit: 1-3 Tage
Nur noch 1 Artikel verfügbar!
Weitere Infos zum Zustand
17,32 €
Preise inkl. MwSt. zzgl. Versandkosten
14 Tage Zufriedenheitsgarantie
Risikofrei bestellen
Geprüfte Gebrauchtware
Einzeln geprüft
Produktinformationen "A Novel Cluster And Rank Based Method For Prediction Of Heart Diseases"
Heart disease is a leading cause of death worldwide, and early prediction is crucial for effective prevention and management. A novel cluster and rank-based method for prediction of heart disease involves using machine learning algorithms to cluster patients based on similar risk factors and rank them based on their likelihood of developing cardiovascular disease. This method utilizes feature selection techniques to identify the most important risk factors and uses a classification model to predict the risk of heart disease based on these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC. This approach has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify subgroups of patients with similar risk profiles, and the potential to integrate data from electronic health records and other sources.
Anmelden
Versandkostenfrei ab 29 €
14 Tage Rückgaberecht - Kein Risiko
Geprüfte Gebrauchtware