Logical analysis of data—An overview: From combinatorial optimization to medical applications

Peter Hammer () and Tibérius Bonates ()

Annals of Operations Research, 2006, vol. 148, issue 1, 203-225

Abstract: The paper presents a review of the basic concepts of the Logical Analysis of Data (LAD), along with a series of discrete optimization models associated to the implementation of various components of its general methodology, as well as an outline of applications of LAD to medical problems. The combinatorial optimization models described in the paper represent variations on the general theme of set covering, including some with nonlinear objective functions. The medical applications described include the development of diagnostic and prognostic systems in cancer research and pulmonology, risk assessment among cardiac patients, and the design of biomaterials. Copyright Springer Science + Business Media, LLC 2006

Keywords: Data mining; Machine learning; Discrete optimization; Integer programming (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/s10479-006-0075-y

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