Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922170648> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2922170648 abstract "The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an initial need to complete data quality evaluation; however, with large heterogeneous clinical data sets, it is important to standardize the data in order to facilitate dimensionality reduction. This is particularly important for clinical data sets including medications as a core data component due to the complexity of coded medication data. Data integration at the individual subject level is essential with medication-related machine learning applications since it can be difficult to accurately identify drug exposures, therapeutic effects, and adverse drug events without having high-quality data integration of insurance, medication, and medical data. Successful data integration and standardization efforts can substantially improve the ability to identify and replicate personalized treatment pathways to optimize drug therapy." @default.
- W2922170648 created "2019-03-22" @default.
- W2922170648 creator A5032913460 @default.
- W2922170648 creator A5042446616 @default.
- W2922170648 date "2019-01-01" @default.
- W2922170648 modified "2023-09-23" @default.
- W2922170648 title "Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning" @default.
- W2922170648 cites W1986217556 @default.
- W2922170648 cites W2000445173 @default.
- W2922170648 cites W2050503581 @default.
- W2922170648 cites W2057780602 @default.
- W2922170648 cites W2058647728 @default.
- W2922170648 cites W2061326496 @default.
- W2922170648 cites W2129168200 @default.
- W2922170648 cites W2538850901 @default.
- W2922170648 doi "https://doi.org/10.1007/978-1-4939-9089-4_14" @default.
- W2922170648 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30848466" @default.
- W2922170648 hasPublicationYear "2019" @default.
- W2922170648 type Work @default.
- W2922170648 sameAs 2922170648 @default.
- W2922170648 citedByCount "4" @default.
- W2922170648 countsByYear W29221706482019 @default.
- W2922170648 countsByYear W29221706482020 @default.
- W2922170648 crossrefType "book-chapter" @default.
- W2922170648 hasAuthorship W2922170648A5032913460 @default.
- W2922170648 hasAuthorship W2922170648A5042446616 @default.
- W2922170648 hasConcept C10551718 @default.
- W2922170648 hasConcept C111919701 @default.
- W2922170648 hasConcept C119857082 @default.
- W2922170648 hasConcept C124101348 @default.
- W2922170648 hasConcept C127413603 @default.
- W2922170648 hasConcept C154945302 @default.
- W2922170648 hasConcept C176217482 @default.
- W2922170648 hasConcept C188087704 @default.
- W2922170648 hasConcept C21547014 @default.
- W2922170648 hasConcept C24756922 @default.
- W2922170648 hasConcept C2522767166 @default.
- W2922170648 hasConcept C32220436 @default.
- W2922170648 hasConcept C34736171 @default.
- W2922170648 hasConcept C41008148 @default.
- W2922170648 hasConcept C58489278 @default.
- W2922170648 hasConcept C60644358 @default.
- W2922170648 hasConcept C70518039 @default.
- W2922170648 hasConcept C72634772 @default.
- W2922170648 hasConcept C75684735 @default.
- W2922170648 hasConcept C86803240 @default.
- W2922170648 hasConceptScore W2922170648C10551718 @default.
- W2922170648 hasConceptScore W2922170648C111919701 @default.
- W2922170648 hasConceptScore W2922170648C119857082 @default.
- W2922170648 hasConceptScore W2922170648C124101348 @default.
- W2922170648 hasConceptScore W2922170648C127413603 @default.
- W2922170648 hasConceptScore W2922170648C154945302 @default.
- W2922170648 hasConceptScore W2922170648C176217482 @default.
- W2922170648 hasConceptScore W2922170648C188087704 @default.
- W2922170648 hasConceptScore W2922170648C21547014 @default.
- W2922170648 hasConceptScore W2922170648C24756922 @default.
- W2922170648 hasConceptScore W2922170648C2522767166 @default.
- W2922170648 hasConceptScore W2922170648C32220436 @default.
- W2922170648 hasConceptScore W2922170648C34736171 @default.
- W2922170648 hasConceptScore W2922170648C41008148 @default.
- W2922170648 hasConceptScore W2922170648C58489278 @default.
- W2922170648 hasConceptScore W2922170648C60644358 @default.
- W2922170648 hasConceptScore W2922170648C70518039 @default.
- W2922170648 hasConceptScore W2922170648C72634772 @default.
- W2922170648 hasConceptScore W2922170648C75684735 @default.
- W2922170648 hasConceptScore W2922170648C86803240 @default.
- W2922170648 hasLocation W29221706481 @default.
- W2922170648 hasLocation W29221706482 @default.
- W2922170648 hasOpenAccess W2922170648 @default.
- W2922170648 hasPrimaryLocation W29221706481 @default.
- W2922170648 hasRelatedWork W1537793047 @default.
- W2922170648 hasRelatedWork W176219849 @default.
- W2922170648 hasRelatedWork W2184043162 @default.
- W2922170648 hasRelatedWork W2357175746 @default.
- W2922170648 hasRelatedWork W2377636399 @default.
- W2922170648 hasRelatedWork W2757938417 @default.
- W2922170648 hasRelatedWork W2945471755 @default.
- W2922170648 hasRelatedWork W3021414116 @default.
- W2922170648 hasRelatedWork W3195278891 @default.
- W2922170648 hasRelatedWork W62488488 @default.
- W2922170648 isParatext "false" @default.
- W2922170648 isRetracted "false" @default.
- W2922170648 magId "2922170648" @default.
- W2922170648 workType "book-chapter" @default.