Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312559493> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4312559493 abstract "Kidney Disease are most serious worldwide health concern with a high fatality rate, as it might also lead to the development of other diseases. Detecting Chronic Kidney Disease at early stage allows patients to undergo therapy while the disease is still in its early stages, and disease development can be slowed. Machine learning may be utilised to effectively attain this aim due to its rapid recognition execution. The current method forecasts chronic illnesses for a specific region and community. Machine learning methodologies like Naive Bayes, Decision Tree, Logistic Regression, k-star and Support Vector Machine is employed in this suggested methodology to break down the misjudgements made by the setup models. Precision, recall, f-measure, and accuracy will be graded. As a result, this technology will be applied to many complicated medical information for sickness detection." @default.
- W4312559493 created "2023-01-05" @default.
- W4312559493 creator A5039099923 @default.
- W4312559493 creator A5041123724 @default.
- W4312559493 creator A5051867647 @default.
- W4312559493 creator A5052457728 @default.
- W4312559493 creator A5071139427 @default.
- W4312559493 creator A5077726276 @default.
- W4312559493 date "2022-07-01" @default.
- W4312559493 modified "2023-10-16" @default.
- W4312559493 title "Machine Learning For Chronic Kidney Disease Detection" @default.
- W4312559493 cites W2782524587 @default.
- W4312559493 cites W2804603962 @default.
- W4312559493 cites W2871012358 @default.
- W4312559493 cites W2884065794 @default.
- W4312559493 cites W2899913556 @default.
- W4312559493 cites W2900329012 @default.
- W4312559493 cites W2902928764 @default.
- W4312559493 cites W2906455801 @default.
- W4312559493 cites W2940596626 @default.
- W4312559493 cites W2982215737 @default.
- W4312559493 doi "https://doi.org/10.1109/ccict56684.2022.00100" @default.
- W4312559493 hasPublicationYear "2022" @default.
- W4312559493 type Work @default.
- W4312559493 citedByCount "0" @default.
- W4312559493 crossrefType "proceedings-article" @default.
- W4312559493 hasAuthorship W4312559493A5039099923 @default.
- W4312559493 hasAuthorship W4312559493A5041123724 @default.
- W4312559493 hasAuthorship W4312559493A5051867647 @default.
- W4312559493 hasAuthorship W4312559493A5052457728 @default.
- W4312559493 hasAuthorship W4312559493A5071139427 @default.
- W4312559493 hasAuthorship W4312559493A5077726276 @default.
- W4312559493 hasConcept C107130276 @default.
- W4312559493 hasConcept C119857082 @default.
- W4312559493 hasConcept C12267149 @default.
- W4312559493 hasConcept C126322002 @default.
- W4312559493 hasConcept C142724271 @default.
- W4312559493 hasConcept C151956035 @default.
- W4312559493 hasConcept C154945302 @default.
- W4312559493 hasConcept C177713679 @default.
- W4312559493 hasConcept C187316915 @default.
- W4312559493 hasConcept C2778653478 @default.
- W4312559493 hasConcept C2779134260 @default.
- W4312559493 hasConcept C41008148 @default.
- W4312559493 hasConcept C52001869 @default.
- W4312559493 hasConcept C71924100 @default.
- W4312559493 hasConcept C84525736 @default.
- W4312559493 hasConceptScore W4312559493C107130276 @default.
- W4312559493 hasConceptScore W4312559493C119857082 @default.
- W4312559493 hasConceptScore W4312559493C12267149 @default.
- W4312559493 hasConceptScore W4312559493C126322002 @default.
- W4312559493 hasConceptScore W4312559493C142724271 @default.
- W4312559493 hasConceptScore W4312559493C151956035 @default.
- W4312559493 hasConceptScore W4312559493C154945302 @default.
- W4312559493 hasConceptScore W4312559493C177713679 @default.
- W4312559493 hasConceptScore W4312559493C187316915 @default.
- W4312559493 hasConceptScore W4312559493C2778653478 @default.
- W4312559493 hasConceptScore W4312559493C2779134260 @default.
- W4312559493 hasConceptScore W4312559493C41008148 @default.
- W4312559493 hasConceptScore W4312559493C52001869 @default.
- W4312559493 hasConceptScore W4312559493C71924100 @default.
- W4312559493 hasConceptScore W4312559493C84525736 @default.
- W4312559493 hasLocation W43125594931 @default.
- W4312559493 hasOpenAccess W4312559493 @default.
- W4312559493 hasPrimaryLocation W43125594931 @default.
- W4312559493 hasRelatedWork W3018390422 @default.
- W4312559493 hasRelatedWork W3127425528 @default.
- W4312559493 hasRelatedWork W3186233728 @default.
- W4312559493 hasRelatedWork W3204641204 @default.
- W4312559493 hasRelatedWork W4205958290 @default.
- W4312559493 hasRelatedWork W4214820172 @default.
- W4312559493 hasRelatedWork W4246246790 @default.
- W4312559493 hasRelatedWork W4281846282 @default.
- W4312559493 hasRelatedWork W4321636153 @default.
- W4312559493 hasRelatedWork W4376059206 @default.
- W4312559493 isParatext "false" @default.
- W4312559493 isRetracted "false" @default.
- W4312559493 workType "article" @default.