Open AccessRespiratory knowledge discovery utilising expertise
Author(s) -
Tristan Ling
Publication year - 2012
Publication title -
australasian medical journal
Language(s) - English
Resource type - Journals
ISSN - 1836-1935
DOI - 10.4066/amj.2012.1354
Subject(s) - knowledge base , lung function , context (archaeology) , medicine , knowledge extraction , set (abstract data type) , function (biology) , data science , data mining , knowledge management , computer science , artificial intelligence , lung , evolutionary biology , programming language , biology , paleontology
Significant amounts of medical data are being archived, in the hope that they can be analysed and provide insight. A critical problem with analysing such data is the amount of existing knowledge required to produce effective results.
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