sureLDA: A multidisease automated phenotyping method for the electronic health record

OBJECTIVE: A major bottleneck hindering utilization of electronic health record data for translational research is the lack of precise phenotype labels. Chart review as well as rule-based and supervised phenotyping approaches require laborious expert input, hampering applicability to studies that re...

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Dades bibliogràfiques
Publicat a:J Am Med Inform Assoc
Autors principals: Ahuja, Yuri, Zhou, Doudou, He, Zeling, Sun, Jiehuan, Castro, Victor M, Gainer, Vivian, Murphy, Shawn N, Hong, Chuan, Cai, Tianxi
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2020
Matèries:
Research and Applications
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7481024/
https://ncbi.nlm.nih.gov/pubmed/32548637
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa079
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