Final Report for Quality Use of Pathology: text based data mining and information extraction

Rebekah Wegener

Final Report for Quality Use of Pathology: text based data mining and information extraction

English and American Studies

Research output: Other contribution › Research

Abstract

Pathology report corpus description, data handling and annotation. Discussion of key features and implications for machine learning for tagging, classification and information extraction.

Original language	English
Type	Confidential Industry Report
Media of output	Written Report
Publication status	Published - 2011

Fields of Science and Technology Classification 2012

102 Computer Sciences
602 Linguistics and Literature
305 Other Human Medicine, Health Sciences

Cite this

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title = "Final Report for Quality Use of Pathology: text based data mining and information extraction",

abstract = "Pathology report corpus description, data handling and annotation. Discussion of key features and implications for machine learning for tagging, classification and information extraction.",

author = "Rebekah Wegener",

year = "2011",

language = "English",

type = "Other",

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AB - Pathology report corpus description, data handling and annotation. Discussion of key features and implications for machine learning for tagging, classification and information extraction.

M3 - Other contribution

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