Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378364690> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4378364690 abstract "People who have never smoked can get lung cancer, but smokers have a higher risk than non-smokers. Any aspect of the respiratory system can be affected by lung cancer, which can start anywhere in the lungs, Different classification methods are used for lung cancer prediction. This article uses five different classification algorithms to predict lung cancer in patients using Kaggle dataset. Bayesian Network, Logistic Regression, J48, Random Forest and Naive Bayes methods are used, Based on the carefully identified correct and incorrect cases, the quality of the result was measured using the evaluation technique and the WEKA tool. The experimental results showed that Logistic Regression performed best (91.90 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>%</sup> ), followed by Naive Bayes (90.29 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>%</sup> ), Bayesian Network (88.34 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>%</sup> ), j48 (86.08 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>%</sup> ) and Random Forest (90.93 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>%</sup> )." @default.
- W4378364690 created "2023-05-27" @default.
- W4378364690 creator A5079954068 @default.
- W4378364690 creator A5092023251 @default.
- W4378364690 date "2023-03-01" @default.
- W4378364690 modified "2023-09-25" @default.
- W4378364690 title "Lung Cancer Disease Prediction and Classification based on Feature Selection method using Bayesian Network, Logistic Regression, J48, Random Forest, and Naïve Bayes Algorithms" @default.
- W4378364690 cites W2884279656 @default.
- W4378364690 cites W2902930318 @default.
- W4378364690 cites W2918987107 @default.
- W4378364690 cites W2921518676 @default.
- W4378364690 cites W2959168867 @default.
- W4378364690 cites W2965711603 @default.
- W4378364690 cites W3008338545 @default.
- W4378364690 cites W3022513095 @default.
- W4378364690 cites W3039545241 @default.
- W4378364690 cites W3046874697 @default.
- W4378364690 cites W3148181069 @default.
- W4378364690 doi "https://doi.org/10.1109/icsmdi57622.2023.00066" @default.
- W4378364690 hasPublicationYear "2023" @default.
- W4378364690 type Work @default.
- W4378364690 citedByCount "0" @default.
- W4378364690 crossrefType "proceedings-article" @default.
- W4378364690 hasAuthorship W4378364690A5079954068 @default.
- W4378364690 hasAuthorship W4378364690A5092023251 @default.
- W4378364690 hasConcept C105795698 @default.
- W4378364690 hasConcept C107673813 @default.
- W4378364690 hasConcept C11413529 @default.
- W4378364690 hasConcept C119857082 @default.
- W4378364690 hasConcept C12267149 @default.
- W4378364690 hasConcept C143998085 @default.
- W4378364690 hasConcept C151956035 @default.
- W4378364690 hasConcept C154945302 @default.
- W4378364690 hasConcept C169258074 @default.
- W4378364690 hasConcept C207201462 @default.
- W4378364690 hasConcept C2776256026 @default.
- W4378364690 hasConcept C33724603 @default.
- W4378364690 hasConcept C33923547 @default.
- W4378364690 hasConcept C41008148 @default.
- W4378364690 hasConcept C52001869 @default.
- W4378364690 hasConcept C52003472 @default.
- W4378364690 hasConcept C71924100 @default.
- W4378364690 hasConceptScore W4378364690C105795698 @default.
- W4378364690 hasConceptScore W4378364690C107673813 @default.
- W4378364690 hasConceptScore W4378364690C11413529 @default.
- W4378364690 hasConceptScore W4378364690C119857082 @default.
- W4378364690 hasConceptScore W4378364690C12267149 @default.
- W4378364690 hasConceptScore W4378364690C143998085 @default.
- W4378364690 hasConceptScore W4378364690C151956035 @default.
- W4378364690 hasConceptScore W4378364690C154945302 @default.
- W4378364690 hasConceptScore W4378364690C169258074 @default.
- W4378364690 hasConceptScore W4378364690C207201462 @default.
- W4378364690 hasConceptScore W4378364690C2776256026 @default.
- W4378364690 hasConceptScore W4378364690C33724603 @default.
- W4378364690 hasConceptScore W4378364690C33923547 @default.
- W4378364690 hasConceptScore W4378364690C41008148 @default.
- W4378364690 hasConceptScore W4378364690C52001869 @default.
- W4378364690 hasConceptScore W4378364690C52003472 @default.
- W4378364690 hasConceptScore W4378364690C71924100 @default.
- W4378364690 hasLocation W43783646901 @default.
- W4378364690 hasOpenAccess W4378364690 @default.
- W4378364690 hasPrimaryLocation W43783646901 @default.
- W4378364690 hasRelatedWork W2583008148 @default.
- W4378364690 hasRelatedWork W2902661814 @default.
- W4378364690 hasRelatedWork W3045445851 @default.
- W4378364690 hasRelatedWork W3122100524 @default.
- W4378364690 hasRelatedWork W3207687267 @default.
- W4378364690 hasRelatedWork W4225312515 @default.
- W4378364690 hasRelatedWork W4294892151 @default.
- W4378364690 hasRelatedWork W4306722552 @default.
- W4378364690 hasRelatedWork W4327649842 @default.
- W4378364690 hasRelatedWork W4376059206 @default.
- W4378364690 isParatext "false" @default.
- W4378364690 isRetracted "false" @default.
- W4378364690 workType "article" @default.