Matches in SemOpenAlex for { <https://semopenalex.org/work/W4364374410> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4364374410 endingPage "13" @default.
- W4364374410 startingPage "10" @default.
- W4364374410 abstract "heart disease is a leading cause of mortality worldwide, presenting a critical challenge for clinical data analysis in predicting cardiovascular disease. Machine learning (ML) has shown promise in assisting decision-making and predictions based on the large amounts of data generated by the healthcare industry. Advancements in the Internet of Things (IoT) have opened new avenues for the application of ML techniques in diverse domains. However, the current literature provides only a limited perspective on predicting heart disease with ML techniques. To address this gap, we propose a novel approach that leverages ML techniques to identify significant features that can improve the accuracy of heart disease prediction. By utilizing a variety of feature combinations and established classification techniques, our prediction model achieves a superior level of performance with an accuracy rate of 88.7% for predicting heart disease. The hybrid random forest with a linear model (HRFLM) was found to be particularly effective in achieving these results." @default.
- W4364374410 created "2023-04-12" @default.
- W4364374410 creator A5008949960 @default.
- W4364374410 creator A5031318634 @default.
- W4364374410 creator A5082703659 @default.
- W4364374410 creator A5086392162 @default.
- W4364374410 creator A5090882396 @default.
- W4364374410 date "2023-04-11" @default.
- W4364374410 modified "2023-10-07" @default.
- W4364374410 title "Heart Disease Detection using Hybrid Machine Learning and IoT (Software Based)" @default.
- W4364374410 cites W2900623063 @default.
- W4364374410 cites W2903099708 @default.
- W4364374410 cites W2906396551 @default.
- W4364374410 cites W2949767632 @default.
- W4364374410 cites W3012687466 @default.
- W4364374410 doi "https://doi.org/10.55529/jaimlnn.33.10.13" @default.
- W4364374410 hasPublicationYear "2023" @default.
- W4364374410 type Work @default.
- W4364374410 citedByCount "0" @default.
- W4364374410 crossrefType "journal-article" @default.
- W4364374410 hasAuthorship W4364374410A5008949960 @default.
- W4364374410 hasAuthorship W4364374410A5031318634 @default.
- W4364374410 hasAuthorship W4364374410A5082703659 @default.
- W4364374410 hasAuthorship W4364374410A5086392162 @default.
- W4364374410 hasAuthorship W4364374410A5090882396 @default.
- W4364374410 hasBestOaLocation W43643744101 @default.
- W4364374410 hasConcept C119857082 @default.
- W4364374410 hasConcept C12267149 @default.
- W4364374410 hasConcept C124101348 @default.
- W4364374410 hasConcept C12713177 @default.
- W4364374410 hasConcept C136197465 @default.
- W4364374410 hasConcept C138885662 @default.
- W4364374410 hasConcept C142724271 @default.
- W4364374410 hasConcept C149635348 @default.
- W4364374410 hasConcept C154945302 @default.
- W4364374410 hasConcept C164705383 @default.
- W4364374410 hasConcept C169258074 @default.
- W4364374410 hasConcept C199360897 @default.
- W4364374410 hasConcept C2776401178 @default.
- W4364374410 hasConcept C2777904410 @default.
- W4364374410 hasConcept C2779134260 @default.
- W4364374410 hasConcept C2780074459 @default.
- W4364374410 hasConcept C41008148 @default.
- W4364374410 hasConcept C41895202 @default.
- W4364374410 hasConcept C71924100 @default.
- W4364374410 hasConcept C81860439 @default.
- W4364374410 hasConceptScore W4364374410C119857082 @default.
- W4364374410 hasConceptScore W4364374410C12267149 @default.
- W4364374410 hasConceptScore W4364374410C124101348 @default.
- W4364374410 hasConceptScore W4364374410C12713177 @default.
- W4364374410 hasConceptScore W4364374410C136197465 @default.
- W4364374410 hasConceptScore W4364374410C138885662 @default.
- W4364374410 hasConceptScore W4364374410C142724271 @default.
- W4364374410 hasConceptScore W4364374410C149635348 @default.
- W4364374410 hasConceptScore W4364374410C154945302 @default.
- W4364374410 hasConceptScore W4364374410C164705383 @default.
- W4364374410 hasConceptScore W4364374410C169258074 @default.
- W4364374410 hasConceptScore W4364374410C199360897 @default.
- W4364374410 hasConceptScore W4364374410C2776401178 @default.
- W4364374410 hasConceptScore W4364374410C2777904410 @default.
- W4364374410 hasConceptScore W4364374410C2779134260 @default.
- W4364374410 hasConceptScore W4364374410C2780074459 @default.
- W4364374410 hasConceptScore W4364374410C41008148 @default.
- W4364374410 hasConceptScore W4364374410C41895202 @default.
- W4364374410 hasConceptScore W4364374410C71924100 @default.
- W4364374410 hasConceptScore W4364374410C81860439 @default.
- W4364374410 hasIssue "33" @default.
- W4364374410 hasLocation W43643744101 @default.
- W4364374410 hasOpenAccess W4364374410 @default.
- W4364374410 hasPrimaryLocation W43643744101 @default.
- W4364374410 hasRelatedWork W2937631562 @default.
- W4364374410 hasRelatedWork W2985924212 @default.
- W4364374410 hasRelatedWork W3195168932 @default.
- W4364374410 hasRelatedWork W3195610867 @default.
- W4364374410 hasRelatedWork W4285343791 @default.
- W4364374410 hasRelatedWork W4308191010 @default.
- W4364374410 hasRelatedWork W4321636153 @default.
- W4364374410 hasRelatedWork W4327511089 @default.
- W4364374410 hasRelatedWork W4377964522 @default.
- W4364374410 hasRelatedWork W4381414210 @default.
- W4364374410 isParatext "false" @default.
- W4364374410 isRetracted "false" @default.
- W4364374410 workType "article" @default.