Embedded electronic medical record text data mining using neural network association classification algorithm

2021 ◽  
Author(s):  
Xiuli Mu ◽  
Hongyan Zhang
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Classification Algorithm ◽  
Text Data ◽  
Text Data Mining

scholarly journals Data Mining via the Electronic Medical Record to Identify Inherited Colorectal Cancer in an HMO Patient Population

2015 ◽  
Vol 2 (2) ◽  
pp. 82
Author(s):  
Monica Alvarado ◽  
Hilary Kershberg ◽  
George Tiller ◽  
Patty Miller ◽  
Ivan Lizarraga ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Data Mining ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Patient Population

Text data mining: a case study

2005 ◽  
Author(s):  
C.W. Ford ◽  
Chia-Chu Chiang ◽  
Hao Wu ◽  
R.R. Chilka ◽  
J.R. Talburt
Keyword(s):  
Data Mining ◽  
Text Data ◽  
Text Data Mining

Exploratory Content Analysis Using Text Data Mining: Corporate Citizenship Reports of Seven US Companies from 2004 to 2012

2017 ◽  
Vol 2017 (66) ◽  
pp. 106-151
Author(s):  
Carlos M. Parra ◽  
Monica Chiarini Tremblay ◽  
Karen Paul ◽  
Arturo Castellanos
Keyword(s):  
Data Mining ◽  
Content Analysis ◽  
Corporate Citizenship ◽  
Text Data ◽  
Text Data Mining

Context-sensitive keyword selection using text data mining

2002 ◽  
Author(s):  
Sai-Ming Li ◽  
Sanjeev Seereeram ◽  
Raman K. Mehra ◽  
Chris Miles
Keyword(s):  
Data Mining ◽  
Text Data ◽  
Text Data Mining ◽  
Context Sensitive

scholarly journals Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Zhongliang Yang ◽  
Yongfeng Huang ◽  
Yiran Jiang ◽  
Yuxi Sun ◽  
Yu-Jin Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Medical Record ◽  
Electronic Medical Record

Information Visualization with Text Data Mining for Knowledge Discovery Tools in Bioinformatics

2005 ◽  
Vol 277-279 ◽  
pp. 259-265
Author(s):  
Jin Ah Park ◽  
Chang Su Lee ◽  
Jong C. Park
Keyword(s):  
Data Mining ◽  
3D Visualization ◽  
Three Dimensional ◽  
Mitogen Activated Protein Kinase ◽  
Text Data ◽  
Text Data Mining ◽  
Visualization System ◽  
Source Data ◽  
Mitogen Activated Protein ◽  
Available Information

An abundant amount of information is produced in the digital domain, and an effective information extraction (IE) system is required to surf through this sea of information. In this paper, we show that an interactive visualization system works effectively to complement an IE system. In particular, three-dimensional (3D) visualization can turn a data-centric system into a user-centric one by facilitating the human visual system as a powerful pattern recognizer to become a part of the IE cycle. Because information as data is multidimensional in nature, 2D visualization has been the preferred mode. However, we argue that the extra dimension available for us in a 3D mode provides a valuable space where we can pack an orthogonal aspect of the available information. As for candidates of this orthogonal information, we have considered the following two aspects: 1) abstraction of the unstructured source data, and 2) the history line of the discovery process. We have applied our proposal to text data mining in bioinformatics. Through case studies of data mining for molecular interaction in the yeast and mitogen-activated protein kinase pathways, we demonstrate the possibility of interpreting the extracted results with a 3D visualization system.

RightJob: Application of Text Data Mining to Curriculum Selection and Development

2019 ◽  
Vol 2019 (1) ◽  
pp. 10848
Author(s):  
Andres Fortino ◽  
Roy Lowrance ◽  
Qitong Zhong ◽  
WeiChieh Huang
Keyword(s):  
Data Mining ◽  
Text Data ◽  
Text Data Mining
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