Matches in SemOpenAlex for { <https://semopenalex.org/work/W3128295684> ?p ?o ?g. }
- W3128295684 abstract "Big Data is no longer a novel concept in health care. Its promise of positive impact is not only undiminished, but daily enhanced by seemingly endless possibilities. Epilepsy is a disorder with wide heterogeneity in both clinical and research domains, and thus lends itself to Big Data concepts and techniques. It is therefore inevitable that Big Data will enable multimodal research, integrating various aspects of “-omics” domains, such as phenome, genome, microbiome, metabolome, and proteome. This scope and granularity have the potential to change our understanding of prognosis and mortality in epilepsy. The scale of new discovery is unprecedented due to the possibilities promised by advances in machine learning, in particular deep learning. The subsequent possibilities of personalized patient care through clinical decision support systems that are evidence-based, adaptive, and iterative seem to be within reach. A major objective is not only to inform decision-making, but also to reduce uncertainty in outcomes. Although the adoption of electronic health record (EHR) systems is near universal in the United States, for example, advanced clinical decision support in or ancillary to EHRs remains sporadic. In this review, we discuss the role of Big Data in the development of clinical decision support systems for epilepsy care, prognostication, and discovery." @default.
- W3128295684 created "2021-02-15" @default.
- W3128295684 creator A5016630625 @default.
- W3128295684 creator A5030855657 @default.
- W3128295684 creator A5049834185 @default.
- W3128295684 creator A5090124814 @default.
- W3128295684 date "2021-02-02" @default.
- W3128295684 modified "2023-10-15" @default.
- W3128295684 title "Can Big Data guide prognosis and clinical decisions in epilepsy?" @default.
- W3128295684 cites W1958802254 @default.
- W3128295684 cites W1964982339 @default.
- W3128295684 cites W1968319872 @default.
- W3128295684 cites W1973525977 @default.
- W3128295684 cites W1974281166 @default.
- W3128295684 cites W1987864204 @default.
- W3128295684 cites W1994321514 @default.
- W3128295684 cites W2002514548 @default.
- W3128295684 cites W2039648273 @default.
- W3128295684 cites W2076993158 @default.
- W3128295684 cites W2078294053 @default.
- W3128295684 cites W2098044946 @default.
- W3128295684 cites W2104542816 @default.
- W3128295684 cites W2146089916 @default.
- W3128295684 cites W2146791878 @default.
- W3128295684 cites W2162377366 @default.
- W3128295684 cites W2163970758 @default.
- W3128295684 cites W2168634156 @default.
- W3128295684 cites W2282821441 @default.
- W3128295684 cites W2302501749 @default.
- W3128295684 cites W2320380476 @default.
- W3128295684 cites W2326514561 @default.
- W3128295684 cites W2339098702 @default.
- W3128295684 cites W2388329775 @default.
- W3128295684 cites W2402431342 @default.
- W3128295684 cites W2552610763 @default.
- W3128295684 cites W2568407436 @default.
- W3128295684 cites W2605739185 @default.
- W3128295684 cites W2610332124 @default.
- W3128295684 cites W2612292012 @default.
- W3128295684 cites W2735486252 @default.
- W3128295684 cites W2766867032 @default.
- W3128295684 cites W2777270043 @default.
- W3128295684 cites W2790230887 @default.
- W3128295684 cites W2790265810 @default.
- W3128295684 cites W2792063171 @default.
- W3128295684 cites W2793978211 @default.
- W3128295684 cites W2795330269 @default.
- W3128295684 cites W2796452884 @default.
- W3128295684 cites W2798181793 @default.
- W3128295684 cites W2804380031 @default.
- W3128295684 cites W2805061797 @default.
- W3128295684 cites W2805075551 @default.
- W3128295684 cites W2889341743 @default.
- W3128295684 cites W2891752665 @default.
- W3128295684 cites W2891966823 @default.
- W3128295684 cites W2896578202 @default.
- W3128295684 cites W2904559787 @default.
- W3128295684 cites W2905483812 @default.
- W3128295684 cites W2911283661 @default.
- W3128295684 cites W2912922541 @default.
- W3128295684 cites W2944445880 @default.
- W3128295684 cites W2946090968 @default.
- W3128295684 cites W2954268688 @default.
- W3128295684 cites W2954503794 @default.
- W3128295684 cites W2964303497 @default.
- W3128295684 cites W2971893337 @default.
- W3128295684 cites W2989633658 @default.
- W3128295684 cites W2992534408 @default.
- W3128295684 cites W2996181411 @default.
- W3128295684 cites W2998876539 @default.
- W3128295684 cites W3004612364 @default.
- W3128295684 cites W3005694506 @default.
- W3128295684 cites W3024173558 @default.
- W3128295684 cites W3030870789 @default.
- W3128295684 cites W3032709845 @default.
- W3128295684 cites W3034153215 @default.
- W3128295684 cites W3036952628 @default.
- W3128295684 cites W4361804789 @default.
- W3128295684 cites W2281218674 @default.
- W3128295684 doi "https://doi.org/10.1111/epi.16786" @default.
- W3128295684 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8011949" @default.
- W3128295684 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33529363" @default.
- W3128295684 hasPublicationYear "2021" @default.
- W3128295684 type Work @default.
- W3128295684 sameAs 3128295684 @default.
- W3128295684 citedByCount "4" @default.
- W3128295684 countsByYear W31282956842022 @default.
- W3128295684 countsByYear W31282956842023 @default.
- W3128295684 crossrefType "journal-article" @default.
- W3128295684 hasAuthorship W3128295684A5016630625 @default.
- W3128295684 hasAuthorship W3128295684A5030855657 @default.
- W3128295684 hasAuthorship W3128295684A5049834185 @default.
- W3128295684 hasAuthorship W3128295684A5090124814 @default.
- W3128295684 hasBestOaLocation W31282956842 @default.
- W3128295684 hasConcept C104317684 @default.
- W3128295684 hasConcept C107327155 @default.
- W3128295684 hasConcept C124101348 @default.
- W3128295684 hasConcept C141231307 @default.
- W3128295684 hasConcept C142724271 @default.
- W3128295684 hasConcept C154945302 @default.