Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285222011> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4285222011 endingPage "03057" @default.
- W4285222011 startingPage "03057" @default.
- W4285222011 abstract "One of the root causes of mortality in today's world is the culmination of several heart disease and diabetes illnesses. In clinical data analysis, predicting multiple diseases is a significant challenge. The machine learning approach has proved to be functional in assisting in the decision-making and governing of large amounts of data generated by the healthcare field. The various experiments scratch the surface of machine learning to predict different diseases. The papers present a novel method for identifying significant features using machine learning techniques, which improves the diagnosis of multi-purpose disease prediction. The different features and many well-known classification methods are used to implement the prediction model to predict the heart disease and diabetes. The proposed method utilizes ensemble approach for achieving a higher degree of accuracy rates for by using classification algorithms and feature selection methods. The proposed method implements voting classifier that has sigmoid SVC, AdaBoost, and Decision tree algorithms. The paper also implements the traditional classifiers and presents the comparison of different models in terms of accuracy. The web application is also developed for users to avail its services very easily and make it convenient for their use, particularly in the prediction of heart and diabetes collectively." @default.
- W4285222011 created "2022-07-14" @default.
- W4285222011 creator A5016390395 @default.
- W4285222011 creator A5080489276 @default.
- W4285222011 creator A5092307679 @default.
- W4285222011 creator A5092307680 @default.
- W4285222011 date "2022-01-01" @default.
- W4285222011 modified "2023-10-12" @default.
- W4285222011 title "Diabetes & Heart Disease Prediction Using Machine Learning" @default.
- W4285222011 cites W2147273498 @default.
- W4285222011 cites W2900329012 @default.
- W4285222011 cites W3020776760 @default.
- W4285222011 cites W3040040993 @default.
- W4285222011 cites W3082501133 @default.
- W4285222011 cites W3089852565 @default.
- W4285222011 cites W3161241668 @default.
- W4285222011 cites W3207975156 @default.
- W4285222011 doi "https://doi.org/10.1051/itmconf/20224403057" @default.
- W4285222011 hasPublicationYear "2022" @default.
- W4285222011 type Work @default.
- W4285222011 citedByCount "2" @default.
- W4285222011 countsByYear W42852220112023 @default.
- W4285222011 crossrefType "journal-article" @default.
- W4285222011 hasAuthorship W4285222011A5016390395 @default.
- W4285222011 hasAuthorship W4285222011A5080489276 @default.
- W4285222011 hasAuthorship W4285222011A5092307679 @default.
- W4285222011 hasAuthorship W4285222011A5092307680 @default.
- W4285222011 hasBestOaLocation W42852220111 @default.
- W4285222011 hasConcept C119857082 @default.
- W4285222011 hasConcept C124101348 @default.
- W4285222011 hasConcept C141404830 @default.
- W4285222011 hasConcept C148483581 @default.
- W4285222011 hasConcept C154945302 @default.
- W4285222011 hasConcept C164705383 @default.
- W4285222011 hasConcept C2780074459 @default.
- W4285222011 hasConcept C41008148 @default.
- W4285222011 hasConcept C45942800 @default.
- W4285222011 hasConcept C71924100 @default.
- W4285222011 hasConcept C84525736 @default.
- W4285222011 hasConcept C95623464 @default.
- W4285222011 hasConceptScore W4285222011C119857082 @default.
- W4285222011 hasConceptScore W4285222011C124101348 @default.
- W4285222011 hasConceptScore W4285222011C141404830 @default.
- W4285222011 hasConceptScore W4285222011C148483581 @default.
- W4285222011 hasConceptScore W4285222011C154945302 @default.
- W4285222011 hasConceptScore W4285222011C164705383 @default.
- W4285222011 hasConceptScore W4285222011C2780074459 @default.
- W4285222011 hasConceptScore W4285222011C41008148 @default.
- W4285222011 hasConceptScore W4285222011C45942800 @default.
- W4285222011 hasConceptScore W4285222011C71924100 @default.
- W4285222011 hasConceptScore W4285222011C84525736 @default.
- W4285222011 hasConceptScore W4285222011C95623464 @default.
- W4285222011 hasLocation W42852220111 @default.
- W4285222011 hasOpenAccess W4285222011 @default.
- W4285222011 hasPrimaryLocation W42852220111 @default.
- W4285222011 hasRelatedWork W2097856925 @default.
- W4285222011 hasRelatedWork W2161806676 @default.
- W4285222011 hasRelatedWork W2904660175 @default.
- W4285222011 hasRelatedWork W2911198546 @default.
- W4285222011 hasRelatedWork W3100297620 @default.
- W4285222011 hasRelatedWork W3135651197 @default.
- W4285222011 hasRelatedWork W3216815601 @default.
- W4285222011 hasRelatedWork W4285046548 @default.
- W4285222011 hasRelatedWork W4312918337 @default.
- W4285222011 hasRelatedWork W4362588981 @default.
- W4285222011 hasVolume "44" @default.
- W4285222011 isParatext "false" @default.
- W4285222011 isRetracted "false" @default.
- W4285222011 workType "article" @default.