Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data

2009 ◽  
pp. 49-68
Author(s):  
Christopher M. Taylor ◽  
Arvin Agah
Keyword(s):  
Data Mining ◽  
Genetic Algorithms ◽  
Biomedical Data

Biomedical Data Mining, Spatial

2017 ◽  
pp. 127-135
Author(s):  
Keith Marsolo ◽  
Michael Twa ◽  
Mark A. Bullimore ◽  
Srinivasan Parthasarathy
Keyword(s):  
Data Mining ◽  
Biomedical Data

Biomedical data mining for improved clinical diagnosis

2021 ◽  
pp. 155-176
Author(s):  
G. Nalinipriya ◽  
M. Geetha ◽  
R. Cristin ◽  
Balajee Maram
Keyword(s):  
Data Mining ◽  
Clinical Diagnosis ◽  
Biomedical Data

A Data Mining Based Approach for Collaborative Analysis of Biomedical Data

2014 ◽  
Vol 23 (04) ◽  
pp. 1460010 ◽  
Author(s):  
Georgia Tsiliki ◽  
Sophia Kossida ◽  
Natalja Friesen ◽  
Stefan Rüping ◽  
Manolis Tzagarakis ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Mining Algorithm ◽  
Biomedical Data ◽  
Data Repositories ◽  
Mining Algorithm ◽  
Research Questions ◽  
Collaborative Analysis ◽  
Set Up ◽  
Available Information ◽  
Collaborative Decision

Biomedical research becomes increasingly multidisciplinary and collaborative in nature. At the same time, it has recently seen a vast growth in publicly and instantly available information. As the available resources become more specialized, there is a growing need for multidisciplinary collaborations between biomedical researchers to address complex research questions. We present an application of a data mining algorithm to genomic data in a collaborative decision-making support environment, as a typical example of how multidisciplinary researchers can collaborate in analyzing and interpreting biomedical data. Through the proposed approach, researchers can easily decide about which data repositories should be considered, analyze the algorithmic results, discuss the weaknesses of the patterns identified, and set up new iterations of the data mining algorithm by defining other descriptive attributes or integrating other relevant data. Evaluation results show that the proposed approach facilitates users to set their research objectives and better understand the data and methodologies used in their research.

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