Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136243059> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W3136243059 endingPage "90" @default.
- W3136243059 startingPage "75" @default.
- W3136243059 abstract "Gastro disorders occur due to non-systematic lifestyle. With frequent health checks and diagnosis, these disorders can be detected. This paper proposes implementation of the machine learning techniques to predict the gastroesophageal reflux disorder in a patient. The logistic regression and SVM (support vector machine) classifier are the techniques adapted based on the source of symptoms for carrying out prediction. The algorithms work with the assistance of linear representation in the form of a binary tree. Every central node of the tree is represented by an attribute, and every branch node is related to one class label in the algorithm. The support vector machine algorithm assists in the classification of the dataset on the basis of kernel and also grouping of the dataset by means of hyper plane. These artificial neural networks concepts are found to have a greater accuracy. The motive of this paper is to predict the occurrences of the gastroesophageal reflux disorders in individuals. As a value-added feature, the information is encrypted using ECC and authenticated using SHA256." @default.
- W3136243059 created "2021-03-29" @default.
- W3136243059 creator A5001069098 @default.
- W3136243059 creator A5037190881 @default.
- W3136243059 date "2021-04-01" @default.
- W3136243059 modified "2023-09-27" @default.
- W3136243059 title "Early Detection of Gastroesophageal Reflux Disease Using Logistic Regression and Support Vector Machine" @default.
- W3136243059 cites W1992749452 @default.
- W3136243059 cites W2182244451 @default.
- W3136243059 cites W2768218483 @default.
- W3136243059 doi "https://doi.org/10.4018/ijoci.2021040104" @default.
- W3136243059 hasPublicationYear "2021" @default.
- W3136243059 type Work @default.
- W3136243059 sameAs 3136243059 @default.
- W3136243059 citedByCount "0" @default.
- W3136243059 crossrefType "journal-article" @default.
- W3136243059 hasAuthorship W3136243059A5001069098 @default.
- W3136243059 hasAuthorship W3136243059A5037190881 @default.
- W3136243059 hasConcept C11413529 @default.
- W3136243059 hasConcept C119857082 @default.
- W3136243059 hasConcept C12267149 @default.
- W3136243059 hasConcept C151956035 @default.
- W3136243059 hasConcept C153180895 @default.
- W3136243059 hasConcept C154945302 @default.
- W3136243059 hasConcept C169258074 @default.
- W3136243059 hasConcept C197855036 @default.
- W3136243059 hasConcept C41008148 @default.
- W3136243059 hasConcept C66905080 @default.
- W3136243059 hasConcept C84525736 @default.
- W3136243059 hasConcept C95623464 @default.
- W3136243059 hasConceptScore W3136243059C11413529 @default.
- W3136243059 hasConceptScore W3136243059C119857082 @default.
- W3136243059 hasConceptScore W3136243059C12267149 @default.
- W3136243059 hasConceptScore W3136243059C151956035 @default.
- W3136243059 hasConceptScore W3136243059C153180895 @default.
- W3136243059 hasConceptScore W3136243059C154945302 @default.
- W3136243059 hasConceptScore W3136243059C169258074 @default.
- W3136243059 hasConceptScore W3136243059C197855036 @default.
- W3136243059 hasConceptScore W3136243059C41008148 @default.
- W3136243059 hasConceptScore W3136243059C66905080 @default.
- W3136243059 hasConceptScore W3136243059C84525736 @default.
- W3136243059 hasConceptScore W3136243059C95623464 @default.
- W3136243059 hasIssue "2" @default.
- W3136243059 hasLocation W31362430591 @default.
- W3136243059 hasOpenAccess W3136243059 @default.
- W3136243059 hasPrimaryLocation W31362430591 @default.
- W3136243059 hasRelatedWork W2275058042 @default.
- W3136243059 hasRelatedWork W3127425528 @default.
- W3136243059 hasRelatedWork W4200437006 @default.
- W3136243059 hasRelatedWork W4205958290 @default.
- W3136243059 hasRelatedWork W4246246790 @default.
- W3136243059 hasRelatedWork W4249229055 @default.
- W3136243059 hasRelatedWork W4281846282 @default.
- W3136243059 hasRelatedWork W4293191462 @default.
- W3136243059 hasRelatedWork W4320483443 @default.
- W3136243059 hasRelatedWork W4321636153 @default.
- W3136243059 hasVolume "11" @default.
- W3136243059 isParatext "false" @default.
- W3136243059 isRetracted "false" @default.
- W3136243059 magId "3136243059" @default.
- W3136243059 workType "article" @default.