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Elementary, My Dear Watson—The Era of Natural Language Processing in Transplantation
Author(s) -
Ho B.,
Skaro A.,
Montag S.,
Zhao L.
Publication year - 2017
Publication title -
american journal of transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 188
eISSN - 1600-6143
pISSN - 1600-6135
DOI - 10.1111/ajt.14164
Subject(s) - medicine , transplantation , unstructured data , big data , kidney transplantation , analytics , data extraction , computer science , data science , artificial intelligence , data mining , medline , political science , law
A novel pilot study by Srinivas et al ( page 671) demonstrates the feasibility of automated data extraction from unstructured data within electronic health records, which may enhance available data for model building to predict graft loss following kidney transplantation.