Automatic lymphoma classification with sentence subgraph mining from pathology reports

OBJECTIVE: Pathology reports are rich in narrative statements that encode a complex web of relations among medical concepts. These relations are routinely used by doctors to reason on diagnoses, but often require hand-crafted rules or supervised learning to extract into prespecified forms for comput...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Luo, Yuan, Sohani, Aliyah R, Hochberg, Ephraim P, Szolovits, Peter
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BMJ Publishing Group 2014
Gaiak:
Focus on Biomedical Natural Language Processing and Data Modeling
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147603/
https://ncbi.nlm.nih.gov/pubmed/24431333
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002443
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