Matches in SemOpenAlex for { <https://semopenalex.org/work/W4321510621> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4321510621 abstract "Healthcare sector is having lots of data about various disease and newly discovered viruses and bacteria’s and so on. The data has been resided for a long at various data warehouses of each country’s healthcare department but due to lack of collaboration and employment of advanced machine learning algorithms the meaningful insights which may conclude from data research and association, remain hidden from world. Hence this paper proposes the application of various machine algorithms like linear regression and multi-layer perceptron on a target dataset which is having the attributes of related to healthcare industry. With implementation of algorithm the detection of diabetes in various areas covered in 80 attributes of selected dataset." @default.
- W4321510621 created "2023-02-24" @default.
- W4321510621 creator A5009435686 @default.
- W4321510621 creator A5010953372 @default.
- W4321510621 creator A5017576078 @default.
- W4321510621 creator A5030424875 @default.
- W4321510621 creator A5040259737 @default.
- W4321510621 creator A5090344194 @default.
- W4321510621 date "2022-12-23" @default.
- W4321510621 modified "2023-09-27" @default.
- W4321510621 title "Implementation of Data Mining Techniques in Healthcare" @default.
- W4321510621 cites W1501500081 @default.
- W4321510621 cites W1584482519 @default.
- W4321510621 cites W1967286765 @default.
- W4321510621 cites W1998801147 @default.
- W4321510621 cites W2042047888 @default.
- W4321510621 cites W2046661587 @default.
- W4321510621 cites W2065414989 @default.
- W4321510621 cites W2081978320 @default.
- W4321510621 cites W2100235303 @default.
- W4321510621 cites W2107373450 @default.
- W4321510621 cites W2118416794 @default.
- W4321510621 cites W2148061495 @default.
- W4321510621 cites W2166183437 @default.
- W4321510621 cites W2900794383 @default.
- W4321510621 cites W3213030628 @default.
- W4321510621 cites W4220895305 @default.
- W4321510621 cites W4244781008 @default.
- W4321510621 doi "https://doi.org/10.1109/cisct55310.2022.10046552" @default.
- W4321510621 hasPublicationYear "2022" @default.
- W4321510621 type Work @default.
- W4321510621 citedByCount "0" @default.
- W4321510621 crossrefType "proceedings-article" @default.
- W4321510621 hasAuthorship W4321510621A5009435686 @default.
- W4321510621 hasAuthorship W4321510621A5010953372 @default.
- W4321510621 hasAuthorship W4321510621A5017576078 @default.
- W4321510621 hasAuthorship W4321510621A5030424875 @default.
- W4321510621 hasAuthorship W4321510621A5040259737 @default.
- W4321510621 hasAuthorship W4321510621A5090344194 @default.
- W4321510621 hasConcept C119857082 @default.
- W4321510621 hasConcept C124101348 @default.
- W4321510621 hasConcept C154945302 @default.
- W4321510621 hasConcept C160735492 @default.
- W4321510621 hasConcept C162324750 @default.
- W4321510621 hasConcept C179717631 @default.
- W4321510621 hasConcept C2522767166 @default.
- W4321510621 hasConcept C2989086416 @default.
- W4321510621 hasConcept C41008148 @default.
- W4321510621 hasConcept C50522688 @default.
- W4321510621 hasConcept C50644808 @default.
- W4321510621 hasConceptScore W4321510621C119857082 @default.
- W4321510621 hasConceptScore W4321510621C124101348 @default.
- W4321510621 hasConceptScore W4321510621C154945302 @default.
- W4321510621 hasConceptScore W4321510621C160735492 @default.
- W4321510621 hasConceptScore W4321510621C162324750 @default.
- W4321510621 hasConceptScore W4321510621C179717631 @default.
- W4321510621 hasConceptScore W4321510621C2522767166 @default.
- W4321510621 hasConceptScore W4321510621C2989086416 @default.
- W4321510621 hasConceptScore W4321510621C41008148 @default.
- W4321510621 hasConceptScore W4321510621C50522688 @default.
- W4321510621 hasConceptScore W4321510621C50644808 @default.
- W4321510621 hasLocation W43215106211 @default.
- W4321510621 hasOpenAccess W4321510621 @default.
- W4321510621 hasPrimaryLocation W43215106211 @default.
- W4321510621 hasRelatedWork W2979979539 @default.
- W4321510621 hasRelatedWork W3018959556 @default.
- W4321510621 hasRelatedWork W3185179407 @default.
- W4321510621 hasRelatedWork W3211546796 @default.
- W4321510621 hasRelatedWork W4231994957 @default.
- W4321510621 hasRelatedWork W4280611221 @default.
- W4321510621 hasRelatedWork W4285741730 @default.
- W4321510621 hasRelatedWork W4316082230 @default.
- W4321510621 hasRelatedWork W4361795583 @default.
- W4321510621 hasRelatedWork W4362605344 @default.
- W4321510621 isParatext "false" @default.
- W4321510621 isRetracted "false" @default.
- W4321510621 workType "article" @default.