Matches in SemOpenAlex for { <https://semopenalex.org/work/W3119296006> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3119296006 abstract "Cardiovascular diseases (CVDs) aredisorders of the heart and blood vessels and are a major cause of disability and premature death worldwide. Individuals at higher risk of developing CVD must be noticed at an early stage to prevent premature deaths. Advances in the field of computational intelligence, together with the vast amount of data produced daily in clinical settings, have made it possible to create recognition systems capable of identifying hidden patterns and useful information. This paper focuses on the application of Data Mining Techniques (DMTs) to clinical data collected during the medical examination in an attempt to predict whether or not an individual has a CVD. To this end, the CRossIndustry Standard Process for Data Mining (CRISP-DM) methodology was followed, in which five classifiers were applied, namely DT, Optimized DT, RI, RF, and DL. The models were mainly developed using the RapidMiner software with the assist of the WEKA tool and were analyzed based on accuracy, precision, sensitivity, and specificity. The results obtained were considered promising on the basis of the research for effective means of diagnosing CVD, with the best model being Optimized DT, which achieved the highest values for all the evaluation metrics, 73.54%, 75.82%, 68.89%, 78.16% and 0.788 for accuracy, precision, sensitivity, specificity, and AUC, respectively." @default.
- W3119296006 created "2021-01-18" @default.
- W3119296006 creator A5011826531 @default.
- W3119296006 creator A5032026281 @default.
- W3119296006 creator A5032856649 @default.
- W3119296006 creator A5038026427 @default.
- W3119296006 creator A5088280071 @default.
- W3119296006 date "2021-01-01" @default.
- W3119296006 modified "2023-09-30" @default.
- W3119296006 title "Data Mining for Cardiovascular Disease Prediction" @default.
- W3119296006 cites W2031968478 @default.
- W3119296006 cites W2264375300 @default.
- W3119296006 cites W2895252159 @default.
- W3119296006 cites W2915058370 @default.
- W3119296006 cites W2991042983 @default.
- W3119296006 cites W2995889897 @default.
- W3119296006 cites W3048357462 @default.
- W3119296006 doi "https://doi.org/10.1007/s10916-020-01682-8" @default.
- W3119296006 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33404894" @default.
- W3119296006 hasPublicationYear "2021" @default.
- W3119296006 type Work @default.
- W3119296006 sameAs 3119296006 @default.
- W3119296006 citedByCount "33" @default.
- W3119296006 countsByYear W31192960062021 @default.
- W3119296006 countsByYear W31192960062022 @default.
- W3119296006 countsByYear W31192960062023 @default.
- W3119296006 crossrefType "journal-article" @default.
- W3119296006 hasAuthorship W3119296006A5011826531 @default.
- W3119296006 hasAuthorship W3119296006A5032026281 @default.
- W3119296006 hasAuthorship W3119296006A5032856649 @default.
- W3119296006 hasAuthorship W3119296006A5038026427 @default.
- W3119296006 hasAuthorship W3119296006A5088280071 @default.
- W3119296006 hasBestOaLocation W31192960062 @default.
- W3119296006 hasConcept C119857082 @default.
- W3119296006 hasConcept C124101348 @default.
- W3119296006 hasConcept C127413603 @default.
- W3119296006 hasConcept C138816342 @default.
- W3119296006 hasConcept C142724271 @default.
- W3119296006 hasConcept C145642194 @default.
- W3119296006 hasConcept C154945302 @default.
- W3119296006 hasConcept C202444582 @default.
- W3119296006 hasConcept C21200559 @default.
- W3119296006 hasConcept C24326235 @default.
- W3119296006 hasConcept C33923547 @default.
- W3119296006 hasConcept C41008148 @default.
- W3119296006 hasConcept C71924100 @default.
- W3119296006 hasConcept C9652623 @default.
- W3119296006 hasConceptScore W3119296006C119857082 @default.
- W3119296006 hasConceptScore W3119296006C124101348 @default.
- W3119296006 hasConceptScore W3119296006C127413603 @default.
- W3119296006 hasConceptScore W3119296006C138816342 @default.
- W3119296006 hasConceptScore W3119296006C142724271 @default.
- W3119296006 hasConceptScore W3119296006C145642194 @default.
- W3119296006 hasConceptScore W3119296006C154945302 @default.
- W3119296006 hasConceptScore W3119296006C202444582 @default.
- W3119296006 hasConceptScore W3119296006C21200559 @default.
- W3119296006 hasConceptScore W3119296006C24326235 @default.
- W3119296006 hasConceptScore W3119296006C33923547 @default.
- W3119296006 hasConceptScore W3119296006C41008148 @default.
- W3119296006 hasConceptScore W3119296006C71924100 @default.
- W3119296006 hasConceptScore W3119296006C9652623 @default.
- W3119296006 hasIssue "1" @default.
- W3119296006 hasLocation W31192960061 @default.
- W3119296006 hasLocation W31192960062 @default.
- W3119296006 hasOpenAccess W3119296006 @default.
- W3119296006 hasPrimaryLocation W31192960061 @default.
- W3119296006 hasRelatedWork W2961085424 @default.
- W3119296006 hasRelatedWork W3046775127 @default.
- W3119296006 hasRelatedWork W3170094116 @default.
- W3119296006 hasRelatedWork W4205958290 @default.
- W3119296006 hasRelatedWork W4285260836 @default.
- W3119296006 hasRelatedWork W4286629047 @default.
- W3119296006 hasRelatedWork W4306321456 @default.
- W3119296006 hasRelatedWork W4306674287 @default.
- W3119296006 hasRelatedWork W4386462264 @default.
- W3119296006 hasRelatedWork W4224009465 @default.
- W3119296006 hasVolume "45" @default.
- W3119296006 isParatext "false" @default.
- W3119296006 isRetracted "false" @default.
- W3119296006 magId "3119296006" @default.
- W3119296006 workType "article" @default.