scholarly journals Biologically Inspired Anomaly Detection in Pap-Smear Images

2013 ◽  
pp. 17-24 ◽  
Author(s):  
Maykel Orozco-Monteagudo ◽  
Alberto Taboada-Crispi ◽  
Hichem Sahli
Keyword(s):  
Anomaly Detection ◽  
Pap Smear ◽  
Biologically Inspired

scholarly journals Biologically inspired approaches for biosurveillance anomaly detection and data fusion.

2018 ◽  
Author(s):  
Patrick D. Finley ◽  
Drew Levin ◽  
Tatiana Paz Flanagan ◽  
Walter E. Beyeler ◽  
Michael David Mitchell ◽  
...  
Keyword(s):  
Data Fusion ◽  
Anomaly Detection ◽  
Biologically Inspired

Biologically Inspired Anomaly Detection for Hierarchical Wireless Sensor Networks

2012 ◽  
Vol 7 (8) ◽  
Author(s):  
Rongrong Fu ◽  
Kangfeng Zheng ◽  
Tianliang Lu ◽  
Dongmei Zhang ◽  
Yixian Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Anomaly Detection ◽  
Wireless Sensor ◽  
Biologically Inspired ◽  
Hierarchical Wireless Sensor Networks

Abnormal Pap Smear Rates Fall Since HPV Vaccine

2008 ◽  
Vol 38 (8) ◽  
pp. 22
Author(s):  
JANE SALODOF MACNEIL
Keyword(s):  
Hpv Vaccine ◽  
Pap Smear

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

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