Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097488144> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3097488144 endingPage "742" @default.
- W3097488144 startingPage "731" @default.
- W3097488144 abstract "Since the movements of mosquito or human can potentially influence dengue virus transmission, recognizing location characteristics defined as spatial factors is necessary for predicting patient status. We proposed feature extraction that considers location characteristics through previous dengue cases and the high possibility of encounters between people with different backgrounds. The number of incoming populations, school buildings and population density was included as the location characteristics. Besides the information of the spatial factors, the number of dengue cases set within a particular time window was specified for virus transmission period. Our experiments obtained two datasets of dengue fever which were patient registry and location characteristics of Malang Regency. Manually recorded Registry Data only contained positive group data and not the negative group when the patients were healthy. Thus, the proposed extraction method also included the process of generating negative data from the existing positive data. Then, we preprocessed the data by cleaning, imputing, encoding, and merging, such that there were four features representing previous dengue cases and eight features describing location characteristics. The experiments demonstrated that by using some ranked features the prediction had a better accuracy of 78.7% compared to using all features. Temporal-based features displayed better performances, but the result was improved in the wider location where people met." @default.
- W3097488144 created "2020-11-09" @default.
- W3097488144 creator A5012595591 @default.
- W3097488144 creator A5022172123 @default.
- W3097488144 creator A5036919699 @default.
- W3097488144 creator A5051188898 @default.
- W3097488144 creator A5055527258 @default.
- W3097488144 date "2020-10-28" @default.
- W3097488144 modified "2023-09-27" @default.
- W3097488144 title "Extracting Temporal-Based Spatial Features in Imbalanced Data for Predicting Dengue Virus Transmission" @default.
- W3097488144 cites W1994692449 @default.
- W3097488144 cites W2013513000 @default.
- W3097488144 cites W2081964130 @default.
- W3097488144 cites W2100675371 @default.
- W3097488144 cites W2152531160 @default.
- W3097488144 cites W2155294896 @default.
- W3097488144 cites W2229349867 @default.
- W3097488144 cites W2510956393 @default.
- W3097488144 cites W2527231394 @default.
- W3097488144 cites W2536299030 @default.
- W3097488144 cites W2735298236 @default.
- W3097488144 cites W2780163769 @default.
- W3097488144 cites W2801817307 @default.
- W3097488144 cites W2889008724 @default.
- W3097488144 cites W2890689990 @default.
- W3097488144 cites W2898860083 @default.
- W3097488144 cites W2909656340 @default.
- W3097488144 cites W2912217164 @default.
- W3097488144 cites W2912571778 @default.
- W3097488144 cites W2912959122 @default.
- W3097488144 cites W2946020125 @default.
- W3097488144 cites W4240121308 @default.
- W3097488144 doi "https://doi.org/10.1007/978-981-15-4409-5_65" @default.
- W3097488144 hasPublicationYear "2020" @default.
- W3097488144 type Work @default.
- W3097488144 sameAs 3097488144 @default.
- W3097488144 citedByCount "3" @default.
- W3097488144 countsByYear W30974881442021 @default.
- W3097488144 countsByYear W30974881442022 @default.
- W3097488144 crossrefType "book-chapter" @default.
- W3097488144 hasAuthorship W3097488144A5012595591 @default.
- W3097488144 hasAuthorship W3097488144A5022172123 @default.
- W3097488144 hasAuthorship W3097488144A5036919699 @default.
- W3097488144 hasAuthorship W3097488144A5051188898 @default.
- W3097488144 hasAuthorship W3097488144A5055527258 @default.
- W3097488144 hasConcept C124101348 @default.
- W3097488144 hasConcept C153180895 @default.
- W3097488144 hasConcept C154945302 @default.
- W3097488144 hasConcept C159047783 @default.
- W3097488144 hasConcept C41008148 @default.
- W3097488144 hasConcept C533803919 @default.
- W3097488144 hasConcept C761482 @default.
- W3097488144 hasConcept C76155785 @default.
- W3097488144 hasConcept C86803240 @default.
- W3097488144 hasConceptScore W3097488144C124101348 @default.
- W3097488144 hasConceptScore W3097488144C153180895 @default.
- W3097488144 hasConceptScore W3097488144C154945302 @default.
- W3097488144 hasConceptScore W3097488144C159047783 @default.
- W3097488144 hasConceptScore W3097488144C41008148 @default.
- W3097488144 hasConceptScore W3097488144C533803919 @default.
- W3097488144 hasConceptScore W3097488144C761482 @default.
- W3097488144 hasConceptScore W3097488144C76155785 @default.
- W3097488144 hasConceptScore W3097488144C86803240 @default.
- W3097488144 hasLocation W30974881441 @default.
- W3097488144 hasOpenAccess W3097488144 @default.
- W3097488144 hasPrimaryLocation W30974881441 @default.
- W3097488144 hasRelatedWork W1492808738 @default.
- W3097488144 hasRelatedWork W2016106317 @default.
- W3097488144 hasRelatedWork W2033914206 @default.
- W3097488144 hasRelatedWork W2042037344 @default.
- W3097488144 hasRelatedWork W2109496652 @default.
- W3097488144 hasRelatedWork W2146076056 @default.
- W3097488144 hasRelatedWork W2163831990 @default.
- W3097488144 hasRelatedWork W3003836766 @default.
- W3097488144 hasRelatedWork W2083886024 @default.
- W3097488144 hasRelatedWork W2166082580 @default.
- W3097488144 isParatext "false" @default.
- W3097488144 isRetracted "false" @default.
- W3097488144 magId "3097488144" @default.
- W3097488144 workType "book-chapter" @default.