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