Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385624185> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4385624185 abstract "Due to a lack of coroners in some remote areas of the world, epidemiological researchers have created a database for collecting causes of death, called a verbal autopsy. The unstructured verbal autopsy (VA) narratives that are collected in this database are full of hidden knowledge about mortality. However, they are under-exploited due to inadequate processing mechanisms, or some of the computational techniques used are inappropriate for the data format. In this paper, we propose an unsupervised approach that is essentially based on a new algorithm for preprocessing such data. This is not only to address the challenge of topic extraction with the Latent Dirichlet Allocation (LDA) topic model in the context of data scarcity, but also to improve the exploitation of topics (causes of death). Experiments with the Population Health Metrics Research Consortium (PHMRC) data have demonstrated the validity of the approach and have led to the identification of reliable causes of death as well as the discovery of new ones." @default.
- W4385624185 created "2023-08-08" @default.
- W4385624185 creator A5014118555 @default.
- W4385624185 creator A5069327443 @default.
- W4385624185 creator A5070846755 @default.
- W4385624185 date "2023-07-06" @default.
- W4385624185 modified "2023-09-23" @default.
- W4385624185 title "New approach to discover meaningful terms to specify cause of death from narratives verbal autopsy using TF-IDF and the LDA topic model" @default.
- W4385624185 cites W158829242 @default.
- W4385624185 cites W2048195127 @default.
- W4385624185 cites W2056029990 @default.
- W4385624185 cites W2058616517 @default.
- W4385624185 cites W2096675833 @default.
- W4385624185 cites W2129381080 @default.
- W4385624185 cites W2162504357 @default.
- W4385624185 cites W2175727069 @default.
- W4385624185 cites W2195279081 @default.
- W4385624185 cites W2883730939 @default.
- W4385624185 cites W2959425712 @default.
- W4385624185 cites W2977542692 @default.
- W4385624185 cites W2979208245 @default.
- W4385624185 cites W2999309192 @default.
- W4385624185 cites W3123899751 @default.
- W4385624185 cites W3201237925 @default.
- W4385624185 cites W4233135949 @default.
- W4385624185 cites W4297313072 @default.
- W4385624185 doi "https://doi.org/10.1109/eurocon56442.2023.10198945" @default.
- W4385624185 hasPublicationYear "2023" @default.
- W4385624185 type Work @default.
- W4385624185 citedByCount "0" @default.
- W4385624185 crossrefType "proceedings-article" @default.
- W4385624185 hasAuthorship W4385624185A5014118555 @default.
- W4385624185 hasAuthorship W4385624185A5069327443 @default.
- W4385624185 hasAuthorship W4385624185A5070846755 @default.
- W4385624185 hasConcept C10551718 @default.
- W4385624185 hasConcept C116834253 @default.
- W4385624185 hasConcept C138885662 @default.
- W4385624185 hasConcept C142724271 @default.
- W4385624185 hasConcept C154945302 @default.
- W4385624185 hasConcept C166957645 @default.
- W4385624185 hasConcept C171686336 @default.
- W4385624185 hasConcept C199033989 @default.
- W4385624185 hasConcept C204321447 @default.
- W4385624185 hasConcept C205649164 @default.
- W4385624185 hasConcept C23123220 @default.
- W4385624185 hasConcept C2522767166 @default.
- W4385624185 hasConcept C2779134260 @default.
- W4385624185 hasConcept C2779343474 @default.
- W4385624185 hasConcept C2781410689 @default.
- W4385624185 hasConcept C29374701 @default.
- W4385624185 hasConcept C34736171 @default.
- W4385624185 hasConcept C41008148 @default.
- W4385624185 hasConcept C41895202 @default.
- W4385624185 hasConcept C500882744 @default.
- W4385624185 hasConcept C59822182 @default.
- W4385624185 hasConcept C71924100 @default.
- W4385624185 hasConcept C86803240 @default.
- W4385624185 hasConceptScore W4385624185C10551718 @default.
- W4385624185 hasConceptScore W4385624185C116834253 @default.
- W4385624185 hasConceptScore W4385624185C138885662 @default.
- W4385624185 hasConceptScore W4385624185C142724271 @default.
- W4385624185 hasConceptScore W4385624185C154945302 @default.
- W4385624185 hasConceptScore W4385624185C166957645 @default.
- W4385624185 hasConceptScore W4385624185C171686336 @default.
- W4385624185 hasConceptScore W4385624185C199033989 @default.
- W4385624185 hasConceptScore W4385624185C204321447 @default.
- W4385624185 hasConceptScore W4385624185C205649164 @default.
- W4385624185 hasConceptScore W4385624185C23123220 @default.
- W4385624185 hasConceptScore W4385624185C2522767166 @default.
- W4385624185 hasConceptScore W4385624185C2779134260 @default.
- W4385624185 hasConceptScore W4385624185C2779343474 @default.
- W4385624185 hasConceptScore W4385624185C2781410689 @default.
- W4385624185 hasConceptScore W4385624185C29374701 @default.
- W4385624185 hasConceptScore W4385624185C34736171 @default.
- W4385624185 hasConceptScore W4385624185C41008148 @default.
- W4385624185 hasConceptScore W4385624185C41895202 @default.
- W4385624185 hasConceptScore W4385624185C500882744 @default.
- W4385624185 hasConceptScore W4385624185C59822182 @default.
- W4385624185 hasConceptScore W4385624185C71924100 @default.
- W4385624185 hasConceptScore W4385624185C86803240 @default.
- W4385624185 hasLocation W43856241851 @default.
- W4385624185 hasOpenAccess W4385624185 @default.
- W4385624185 hasPrimaryLocation W43856241851 @default.
- W4385624185 hasRelatedWork W2047271471 @default.
- W4385624185 hasRelatedWork W2370554703 @default.
- W4385624185 hasRelatedWork W2610964036 @default.
- W4385624185 hasRelatedWork W2973007176 @default.
- W4385624185 hasRelatedWork W3079682176 @default.
- W4385624185 hasRelatedWork W3161067528 @default.
- W4385624185 hasRelatedWork W3178031580 @default.
- W4385624185 hasRelatedWork W3200290368 @default.
- W4385624185 hasRelatedWork W4285376067 @default.
- W4385624185 hasRelatedWork W4385624185 @default.
- W4385624185 isParatext "false" @default.
- W4385624185 isRetracted "false" @default.
- W4385624185 workType "article" @default.