Matches in SemOpenAlex for { <https://semopenalex.org/work/W1523309462> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W1523309462 endingPage "1514" @default.
- W1523309462 startingPage "1510" @default.
- W1523309462 abstract "Abstract Classification techniques have shown recently their usefulness for complex process diagnosis. Besides the fact that no physical model for the process is required, they enable to study the problem of sensor location. Preliminary studies made previously in the domain of chemical process diagnosis have been the initial key point to extend its application to the medical diagnosis framework. Despite the behavioral difference, both domains exhibit many common practices. However, medical diagnosis recently has brought serious challenges such as high dimensionality (gene expression profiling) and heterogeneity of data (symbolic histo-pathological factors). We show here that both challenges can be overcome and used in return to improve complex process diagnosis." @default.
- W1523309462 created "2016-06-24" @default.
- W1523309462 creator A5043009630 @default.
- W1523309462 creator A5050918534 @default.
- W1523309462 creator A5052379258 @default.
- W1523309462 creator A5053718597 @default.
- W1523309462 creator A5072173757 @default.
- W1523309462 creator A5083669252 @default.
- W1523309462 creator A5086744639 @default.
- W1523309462 creator A5070881313 @default.
- W1523309462 date "2011-01-01" @default.
- W1523309462 modified "2023-10-18" @default.
- W1523309462 title "From Chemical Process Diagnosis to Cancer Prognosis" @default.
- W1523309462 cites W2017337590 @default.
- W1523309462 cites W2128985829 @default.
- W1523309462 cites W2160450758 @default.
- W1523309462 doi "https://doi.org/10.1016/b978-0-444-54298-4.50081-7" @default.
- W1523309462 hasPublicationYear "2011" @default.
- W1523309462 type Work @default.
- W1523309462 sameAs 1523309462 @default.
- W1523309462 citedByCount "4" @default.
- W1523309462 countsByYear W15233094622012 @default.
- W1523309462 countsByYear W15233094622014 @default.
- W1523309462 crossrefType "book-chapter" @default.
- W1523309462 hasAuthorship W1523309462A5043009630 @default.
- W1523309462 hasAuthorship W1523309462A5050918534 @default.
- W1523309462 hasAuthorship W1523309462A5052379258 @default.
- W1523309462 hasAuthorship W1523309462A5053718597 @default.
- W1523309462 hasAuthorship W1523309462A5070881313 @default.
- W1523309462 hasAuthorship W1523309462A5072173757 @default.
- W1523309462 hasAuthorship W1523309462A5083669252 @default.
- W1523309462 hasAuthorship W1523309462A5086744639 @default.
- W1523309462 hasConcept C111919701 @default.
- W1523309462 hasConcept C121608353 @default.
- W1523309462 hasConcept C126322002 @default.
- W1523309462 hasConcept C41008148 @default.
- W1523309462 hasConcept C71924100 @default.
- W1523309462 hasConcept C98045186 @default.
- W1523309462 hasConceptScore W1523309462C111919701 @default.
- W1523309462 hasConceptScore W1523309462C121608353 @default.
- W1523309462 hasConceptScore W1523309462C126322002 @default.
- W1523309462 hasConceptScore W1523309462C41008148 @default.
- W1523309462 hasConceptScore W1523309462C71924100 @default.
- W1523309462 hasConceptScore W1523309462C98045186 @default.
- W1523309462 hasLocation W15233094621 @default.
- W1523309462 hasOpenAccess W1523309462 @default.
- W1523309462 hasPrimaryLocation W15233094621 @default.
- W1523309462 hasRelatedWork W1985075218 @default.
- W1523309462 hasRelatedWork W2091020218 @default.
- W1523309462 hasRelatedWork W2365364931 @default.
- W1523309462 hasRelatedWork W2370652759 @default.
- W1523309462 hasRelatedWork W2379162918 @default.
- W1523309462 hasRelatedWork W2418638721 @default.
- W1523309462 hasRelatedWork W2748952813 @default.
- W1523309462 hasRelatedWork W2899084033 @default.
- W1523309462 hasRelatedWork W3032375762 @default.
- W1523309462 hasRelatedWork W831794578 @default.
- W1523309462 isParatext "false" @default.
- W1523309462 isRetracted "false" @default.
- W1523309462 magId "1523309462" @default.
- W1523309462 workType "book-chapter" @default.