학술논문
Machine science in biomedicine: Practicalities, pitfalls and potential
Document Type
Conference
Author
Source
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on. :399-404 Dec, 2010
Subject
Language
Abstract
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.