Matches in SemOpenAlex for { <https://semopenalex.org/work/W4229008799> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4229008799 abstract "Vast quantities of electronic patient medical data are currently being collated and processed in large federated data repositories. For instance, TriNetX, Inc., a global health research network, has access to more than 300 million patients, sourced from healthcare organizations, biopharmaceutical companies, and contract research organizations. As such, pipelines that are able to algorithmically extract huge quantities of patient data from multiple modalities present opportunities to leverage machine learning and deep learning approaches with the possibility of generating actionable insight. In this work, we present a modular, semi-automated end-to-end machine and deep learning pipeline designed to interface with a federated network of structured patient data. This proof-of-concept pipeline is disease-agnostic, scalable, and requires little domain expertise and manual feature engineering in order to quickly produce results for the case of a user-defined binary outcome event. We demonstrate the pipeline's efficacy with three different disease workflows, with high discriminatory power achieved in all cases." @default.
- W4229008799 created "2022-05-08" @default.
- W4229008799 creator A5039937464 @default.
- W4229008799 creator A5053202754 @default.
- W4229008799 creator A5075327685 @default.
- W4229008799 date "2022-04-25" @default.
- W4229008799 modified "2023-09-24" @default.
- W4229008799 title "Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes" @default.
- W4229008799 cites W2005921028 @default.
- W4229008799 cites W2061326496 @default.
- W4229008799 cites W2092189965 @default.
- W4229008799 cites W2120751691 @default.
- W4229008799 cites W2165748167 @default.
- W4229008799 cites W2168981535 @default.
- W4229008799 cites W2250189634 @default.
- W4229008799 cites W2284851926 @default.
- W4229008799 cites W2404901863 @default.
- W4229008799 cites W2610332124 @default.
- W4229008799 cites W2625625371 @default.
- W4229008799 cites W2787483926 @default.
- W4229008799 cites W2943347371 @default.
- W4229008799 cites W2963543751 @default.
- W4229008799 cites W3086590218 @default.
- W4229008799 cites W3098949126 @default.
- W4229008799 cites W3115055441 @default.
- W4229008799 cites W3164573547 @default.
- W4229008799 cites W3168714845 @default.
- W4229008799 doi "https://doi.org/10.1145/3477314.3507007" @default.
- W4229008799 hasPublicationYear "2022" @default.
- W4229008799 type Work @default.
- W4229008799 citedByCount "1" @default.
- W4229008799 countsByYear W42290087992022 @default.
- W4229008799 crossrefType "proceedings-article" @default.
- W4229008799 hasAuthorship W4229008799A5039937464 @default.
- W4229008799 hasAuthorship W4229008799A5053202754 @default.
- W4229008799 hasAuthorship W4229008799A5075327685 @default.
- W4229008799 hasBestOaLocation W42290087992 @default.
- W4229008799 hasConcept C101468663 @default.
- W4229008799 hasConcept C108583219 @default.
- W4229008799 hasConcept C111919701 @default.
- W4229008799 hasConcept C119857082 @default.
- W4229008799 hasConcept C124101348 @default.
- W4229008799 hasConcept C153083717 @default.
- W4229008799 hasConcept C154945302 @default.
- W4229008799 hasConcept C160735492 @default.
- W4229008799 hasConcept C162324750 @default.
- W4229008799 hasConcept C177212765 @default.
- W4229008799 hasConcept C199360897 @default.
- W4229008799 hasConcept C2522767166 @default.
- W4229008799 hasConcept C2778827112 @default.
- W4229008799 hasConcept C41008148 @default.
- W4229008799 hasConcept C43521106 @default.
- W4229008799 hasConcept C48044578 @default.
- W4229008799 hasConcept C50522688 @default.
- W4229008799 hasConcept C75684735 @default.
- W4229008799 hasConcept C77088390 @default.
- W4229008799 hasConceptScore W4229008799C101468663 @default.
- W4229008799 hasConceptScore W4229008799C108583219 @default.
- W4229008799 hasConceptScore W4229008799C111919701 @default.
- W4229008799 hasConceptScore W4229008799C119857082 @default.
- W4229008799 hasConceptScore W4229008799C124101348 @default.
- W4229008799 hasConceptScore W4229008799C153083717 @default.
- W4229008799 hasConceptScore W4229008799C154945302 @default.
- W4229008799 hasConceptScore W4229008799C160735492 @default.
- W4229008799 hasConceptScore W4229008799C162324750 @default.
- W4229008799 hasConceptScore W4229008799C177212765 @default.
- W4229008799 hasConceptScore W4229008799C199360897 @default.
- W4229008799 hasConceptScore W4229008799C2522767166 @default.
- W4229008799 hasConceptScore W4229008799C2778827112 @default.
- W4229008799 hasConceptScore W4229008799C41008148 @default.
- W4229008799 hasConceptScore W4229008799C43521106 @default.
- W4229008799 hasConceptScore W4229008799C48044578 @default.
- W4229008799 hasConceptScore W4229008799C50522688 @default.
- W4229008799 hasConceptScore W4229008799C75684735 @default.
- W4229008799 hasConceptScore W4229008799C77088390 @default.
- W4229008799 hasLocation W42290087991 @default.
- W4229008799 hasLocation W42290087992 @default.
- W4229008799 hasOpenAccess W4229008799 @default.
- W4229008799 hasPrimaryLocation W42290087991 @default.
- W4229008799 hasRelatedWork W2227651989 @default.
- W4229008799 hasRelatedWork W2808516408 @default.
- W4229008799 hasRelatedWork W2968586400 @default.
- W4229008799 hasRelatedWork W3014300295 @default.
- W4229008799 hasRelatedWork W3017600792 @default.
- W4229008799 hasRelatedWork W3034267371 @default.
- W4229008799 hasRelatedWork W3189515467 @default.
- W4229008799 hasRelatedWork W4287813963 @default.
- W4229008799 hasRelatedWork W4293567684 @default.
- W4229008799 hasRelatedWork W4320063470 @default.
- W4229008799 isParatext "false" @default.
- W4229008799 isRetracted "false" @default.
- W4229008799 workType "article" @default.