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CORR
2010
Springer

Machine Science in Biomedicine: Practicalities, Pitfalls and Potential

12 years 11 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse data in order to generate hypotheses and develop models. In this paper we describe three recent biomedical Machine Science studies, and use these to assess the current state of the art with specific emphasis on data mining, data assessment, costs, limitations, skills and tool support. Keywords-Text recognition; Data acquisition; Modeling; Biomedical computing;
Thomas W. Kelsey, W. Hamish B. Wallace
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2010
Where CORR
Authors Thomas W. Kelsey, W. Hamish B. Wallace
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