Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200599059> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3200599059 abstract "Heart disease is a vital cause of mortality in this world. The number of patients with this noxious disease is rising every day. It is taking millions of lives each year. It is dismaying that there are not many effective ways to detect heart disease gleaned on elementary information. Nowadays, in order to achieve unprecedented results, Machine Learning (ML) has been exclusively used in various fields. So, we have come up with a proposition of a heart disease prediction model using ML techniques in this paper to accomplish an effective result. We have used different ML classifiers such as Gaussian Naïve Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and applied Soft Voting on them. The result shows that the Voting methods give us the most effective results with an Accuracy of 92.42%, Precision of 92.50%, Recall of 92.22% and F1-score of 92.34%. Our purpose is to detect this deleterious disease more precisely to enhance the medical field." @default.
- W3200599059 created "2021-09-27" @default.
- W3200599059 creator A5029612579 @default.
- W3200599059 creator A5064592503 @default.
- W3200599059 creator A5078246528 @default.
- W3200599059 date "2021-07-08" @default.
- W3200599059 modified "2023-09-25" @default.
- W3200599059 title "Heart Disease Prediction using Synthetic Minority Oversampling Technique and Soft Voting" @default.
- W3200599059 cites W2054515896 @default.
- W3200599059 cites W2151463345 @default.
- W3200599059 cites W2895999059 @default.
- W3200599059 cites W2945721002 @default.
- W3200599059 cites W2949767632 @default.
- W3200599059 cites W2978273980 @default.
- W3200599059 cites W2992625249 @default.
- W3200599059 cites W3003299879 @default.
- W3200599059 cites W3118779687 @default.
- W3200599059 cites W3121216533 @default.
- W3200599059 cites W3134537993 @default.
- W3200599059 cites W3183522145 @default.
- W3200599059 doi "https://doi.org/10.1109/acmi53878.2021.9528188" @default.
- W3200599059 hasPublicationYear "2021" @default.
- W3200599059 type Work @default.
- W3200599059 sameAs 3200599059 @default.
- W3200599059 citedByCount "0" @default.
- W3200599059 crossrefType "proceedings-article" @default.
- W3200599059 hasAuthorship W3200599059A5029612579 @default.
- W3200599059 hasAuthorship W3200599059A5064592503 @default.
- W3200599059 hasAuthorship W3200599059A5078246528 @default.
- W3200599059 hasConcept C100660578 @default.
- W3200599059 hasConcept C119857082 @default.
- W3200599059 hasConcept C12267149 @default.
- W3200599059 hasConcept C138885662 @default.
- W3200599059 hasConcept C140073362 @default.
- W3200599059 hasConcept C153180895 @default.
- W3200599059 hasConcept C154945302 @default.
- W3200599059 hasConcept C17744445 @default.
- W3200599059 hasConcept C199539241 @default.
- W3200599059 hasConcept C202444582 @default.
- W3200599059 hasConcept C33923547 @default.
- W3200599059 hasConcept C41008148 @default.
- W3200599059 hasConcept C41895202 @default.
- W3200599059 hasConcept C50644808 @default.
- W3200599059 hasConcept C52001869 @default.
- W3200599059 hasConcept C520049643 @default.
- W3200599059 hasConcept C94625758 @default.
- W3200599059 hasConcept C9652623 @default.
- W3200599059 hasConceptScore W3200599059C100660578 @default.
- W3200599059 hasConceptScore W3200599059C119857082 @default.
- W3200599059 hasConceptScore W3200599059C12267149 @default.
- W3200599059 hasConceptScore W3200599059C138885662 @default.
- W3200599059 hasConceptScore W3200599059C140073362 @default.
- W3200599059 hasConceptScore W3200599059C153180895 @default.
- W3200599059 hasConceptScore W3200599059C154945302 @default.
- W3200599059 hasConceptScore W3200599059C17744445 @default.
- W3200599059 hasConceptScore W3200599059C199539241 @default.
- W3200599059 hasConceptScore W3200599059C202444582 @default.
- W3200599059 hasConceptScore W3200599059C33923547 @default.
- W3200599059 hasConceptScore W3200599059C41008148 @default.
- W3200599059 hasConceptScore W3200599059C41895202 @default.
- W3200599059 hasConceptScore W3200599059C50644808 @default.
- W3200599059 hasConceptScore W3200599059C52001869 @default.
- W3200599059 hasConceptScore W3200599059C520049643 @default.
- W3200599059 hasConceptScore W3200599059C94625758 @default.
- W3200599059 hasConceptScore W3200599059C9652623 @default.
- W3200599059 hasLocation W32005990591 @default.
- W3200599059 hasOpenAccess W3200599059 @default.
- W3200599059 hasPrimaryLocation W32005990591 @default.
- W3200599059 hasRelatedWork W2539163683 @default.
- W3200599059 hasRelatedWork W2595988085 @default.
- W3200599059 hasRelatedWork W2979979539 @default.
- W3200599059 hasRelatedWork W3105251098 @default.
- W3200599059 hasRelatedWork W3127425528 @default.
- W3200599059 hasRelatedWork W3214058074 @default.
- W3200599059 hasRelatedWork W4205958290 @default.
- W3200599059 hasRelatedWork W4311106074 @default.
- W3200599059 hasRelatedWork W4313203779 @default.
- W3200599059 hasRelatedWork W4313549251 @default.
- W3200599059 isParatext "false" @default.
- W3200599059 isRetracted "false" @default.
- W3200599059 magId "3200599059" @default.
- W3200599059 workType "article" @default.