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Logic Synthesis as an Efficient Means of Minimal Model Discovery from Multivariable Medical Datasets

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Title:Logic Synthesis as an Efficient Means of Minimal Model Discovery from Multivariable Medical Datasets
Authors:Gorji, Niku
Poon, Simon
Keywords:Big Data on Healthcare Application
logic synthesis medical data analysis minimal model discovery
Date Issued:03 Jan 2018
Abstract:In this paper we review the application of logic synthesis methods for uncovering minimal structures in observational/medical datasets. Traditionally used in digital circuit design, logic synthesis has taken major strides in the past few decades and forms the foundation of some of the most powerful concepts in computer science and data mining. Here we provide a review of current state of research in application of logic synthesis methods for data analysis and provide a demonstrative example for systematic application and reasoning based on these methods.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/50242
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.354
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Big-Data on Healthcare Application


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