Information Extraction for Tracking Liver Cancer Patients' Statuses: From Mixture of Clinical Narrative Report Types | Zendy

Xiao-Ou Ping | Zendy; YiJu Tseng | Zendy; YuFang Chung | Zendy; Ya-Lin Wu | Zendy; Ching-Wei Hsu | Zendy; PeiMing Yang | Zendy; GuanTarn Huang | Zendy; Feipei Lai | Zendy; JaDer Liang | Zendy

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Information Extraction for Tracking Liver Cancer Patients' Statuses: From Mixture of Clinical Narrative Report Types

Author(s) -

Xiao-Ou Ping,

YiJu Tseng,

YuFang Chung,

Ya-Lin Wu,

Ching-Wei Hsu,

PeiMing Yang,

GuanTarn Huang,

Feipei Lai,

JaDer Liang

Publication year - 2013

Publication title -

telemedicine journal and e-health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.951

H-Index - 73

eISSN - 1556-3669

pISSN - 1530-5627

DOI - 10.1089/tmj.2012.0241

Subject(s) - classifier (uml) , narrative , computer science , information extraction , liver cancer , artificial intelligence , medicine , medical physics , machine learning , natural language processing , cancer , philosophy , linguistics

To provide an efficient way for tracking patients' condition over long periods of time and to facilitate the collection of clinical data from different types of narrative reports, it is critical to develop an efficient method for smoothly analyzing the clinical data accumulated in narrative reports.

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