Development of a Google-Based Search Engine for Data Mining Radiology Reports

Joseph P. Erinjeri; Daniel Picus; Fred W. Prior; David A. Rubin; Paul Koppel

doi:10.1007/s10278-008-9110-7

Development of a Google-Based Search Engine for Data Mining Radiology Reports

Journal of Digital Imaging ◽

10.1007/s10278-008-9110-7 ◽

2008 ◽

Vol 22 (4) ◽

pp. 348-356 ◽

Cited By ~ 12

Author(s):

Joseph P. Erinjeri ◽

Daniel Picus ◽

Fred W. Prior ◽

David A. Rubin ◽

Paul Koppel

Keyword(s):

Data Mining ◽

Search Engine ◽

Radiology Reports

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Dynamic Clinical Data Mining: Search Engine-Based Decision Support

JMIR Medical Informatics ◽

10.2196/medinform.3110 ◽

2014 ◽

Vol 2 (1) ◽

pp. e13 ◽

Cited By ~ 29

Author(s):

Leo Anthony Celi ◽

Andrew J Zimolzak ◽

David J Stone

Keyword(s):

Data Mining ◽

Decision Support ◽

Search Engine ◽

Clinical Data ◽

Clinical Data Mining

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On the Legal Liability of Search Engine Data Mining Behavior Under Robots Protocol

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-16-7469-3_141 ◽

2022 ◽

pp. 1191-1196

Author(s):

Yong Zhang

Keyword(s):

Data Mining ◽

Search Engine ◽

Legal Liability

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Grid-Based Data Mining With the Environmental Scenario Search Engine (ESSE)

Data Mining Techniques in Grid Computing Environments ◽

10.1002/9780470699904.ch13 ◽

2009 ◽

pp. 221-245

Author(s):

Mikhail Zhizhin ◽

Alexey Poyda ◽

Dmitry Mishin ◽

Dmitry Medvedev ◽

Eric Kihn ◽

...

Keyword(s):

Data Mining ◽

Search Engine ◽

Grid Based

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Mondou: interface with text data mining for Web search engine

Proceedings of the Thirty-First Hawaii International Conference on System Sciences ◽

10.1109/hicss.1998.648322 ◽

2002 ◽

Cited By ~ 3

Author(s):

H. Kawano ◽

O. Hasegawa

Keyword(s):

Data Mining ◽

Search Engine ◽

Web Search ◽

Text Data ◽

Text Data Mining ◽

Web Search Engine

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Mondou: Web search engine with textual data mining

1997 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM. 10 Years Networking the Pacific Rim, 1987-1997 ◽

10.1109/pacrim.1997.619983 ◽

2002 ◽

Cited By ~ 8

Author(s):

H. Kawano

Keyword(s):

Data Mining ◽

Search Engine ◽

Web Search ◽

Web Search Engine ◽

Textual Data

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Improving search results with data mining in a thematic search engine

Computers & Operations Research ◽

10.1016/s0305-0548(03)00194-1 ◽

2004 ◽

Vol 31 (14) ◽

pp. 2387-2404 ◽

Cited By ~ 20

Author(s):

M Caramia ◽

G Felici ◽

A Pezzoli

Keyword(s):

Data Mining ◽

Search Engine ◽

Search Results

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Data Mining in Web Search Engine Optimization and User Assisted Rank Results

International Journal of Computer Applications ◽

10.5120/16611-6448 ◽

2014 ◽

Vol 95 (8) ◽

pp. 1-5

Author(s):

Minky Jindal ◽

Nisha Kharb

Keyword(s):

Data Mining ◽

Search Engine ◽

Web Search ◽

Search Engine Optimization ◽

Web Search Engine

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Research on the optimization strategy of web search engine based on data mining

10.1063/1.5033691 ◽

2018 ◽

Author(s):

Ronghua Chen

Keyword(s):

Data Mining ◽

Search Engine ◽

Web Search ◽

Optimization Strategy ◽

Web Search Engine

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Knowledge Discovery and Data Mining of Free Text Radiology Reports

2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology ◽

10.1109/hisb.2011.31 ◽

2011 ◽

Cited By ~ 7

Author(s):

Jeffrey Friedlin ◽

Malika Mahoui ◽

Josette Jones ◽

Patrick Jamieson

Keyword(s):

Data Mining ◽

Knowledge Discovery ◽

Free Text ◽

Radiology Reports

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Model of Improving Searching Precision For Interactive Users with Searching Requirements

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.833 ◽

2013 ◽

Vol 756-759 ◽

pp. 833-836

Author(s):

Tian Chong ◽

Yan Ling Shao ◽

Jian Jun Wang

Keyword(s):

Data Mining ◽

Search Engine ◽

User Feedback ◽

Demand Model ◽

Model Based ◽

Search Precision ◽

The One ◽

Feedback Data

This paper presents a model based on analysis on interactive users search needs. This model changes from the analysis on user's behavior to the one on search content, which reduces to violate users privacy, and enables users to actively participate in determining the needs of search from the client end in the search engine, in addition to establishment of search demand model based on a large number of user feedback data mining in the search engine subsystem, as a result of higher search precision with less client spending and higher user s participation.

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