A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility

Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians' int...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Baskaran, V., Bali, R. K., Naguib, R. N. G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 167
container_issue
container_start_page 164
container_title
container_volume
creator Baskaran, V.
Bali, R. K.
Naguib, R. N. G.
description Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians' intervention has been accepted as one of the reliable countermeasures aimed at increasing screening attendance. A prediction tool would focus on and benefit these interventions only on the non-attendees instead of the whole screening population. A number of predictors have been proposed for making efficient predictions. This paper discusses one such predictor attribute, based on distance travelled from screening women's residence to the screening facility. We further test the attribute on an actual dataset and present the results.
doi_str_mv 10.1109/DeSE.2011.39
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6149933</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6149933</ieee_id><sourcerecordid>6149933</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-87b70b353b44f16d7c8575abc66c85fc6667aae99b725df73d98a1b38dcb950b3</originalsourceid><addsrcrecordid>eNpNjE1LxDAYhAOyoLvuzZuX_IHWpvlqjt0vFRYVtnhd3iRvNVJbSYOw_976cXAuMwwzDyFXrMgZK8zNBg_bvCwYy7k5I3MmpNYlq5SYkfl3bXjFND8ny3F8KyYpJQVTF-S1pg_DJ3Z0FRHGRA8uIvahf6F1Sth76B3Sp4g-uDRE-gwxgO2QrmBET4eebsKYfkZNhInTTW0a_mF24EIX0umSzFroRlz--YI0u22zvsv2j7f363qfBVOkrNJWF5ZLboVomfLaVVJLsE6pKbWTKQ2AxlhdSt9q7k0FzPLKO2vk9FyQ619sQMTjRwzvEE9HxYQxnPMvwdRW4Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Baskaran, V. ; Bali, R. K. ; Naguib, R. N. G.</creator><creatorcontrib>Baskaran, V. ; Bali, R. K. ; Naguib, R. N. G.</creatorcontrib><description>Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians' intervention has been accepted as one of the reliable countermeasures aimed at increasing screening attendance. A prediction tool would focus on and benefit these interventions only on the non-attendees instead of the whole screening population. A number of predictors have been proposed for making efficient predictions. This paper discusses one such predictor attribute, based on distance travelled from screening women's residence to the screening facility. We further test the attribute on an actual dataset and present the results.</description><identifier>ISBN: 1457721864</identifier><identifier>ISBN: 9781457721861</identifier><identifier>DOI: 10.1109/DeSE.2011.39</identifier><identifier>LCCN: 2011938173</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Algorithm design and analysis ; attendance ; Breast cancer ; Breast screening ; Classification algorithms ; neural networks ; prediction ; Prediction algorithms</subject><ispartof>2011 Developments in E-systems Engineering, 2011, p.164-167</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6149933$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6149933$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Baskaran, V.</creatorcontrib><creatorcontrib>Bali, R. K.</creatorcontrib><creatorcontrib>Naguib, R. N. G.</creatorcontrib><title>A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility</title><title>2011 Developments in E-systems Engineering</title><addtitle>dese</addtitle><description>Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians' intervention has been accepted as one of the reliable countermeasures aimed at increasing screening attendance. A prediction tool would focus on and benefit these interventions only on the non-attendees instead of the whole screening population. A number of predictors have been proposed for making efficient predictions. This paper discusses one such predictor attribute, based on distance travelled from screening women's residence to the screening facility. We further test the attribute on an actual dataset and present the results.</description><subject>Accuracy</subject><subject>Algorithm design and analysis</subject><subject>attendance</subject><subject>Breast cancer</subject><subject>Breast screening</subject><subject>Classification algorithms</subject><subject>neural networks</subject><subject>prediction</subject><subject>Prediction algorithms</subject><isbn>1457721864</isbn><isbn>9781457721861</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNjE1LxDAYhAOyoLvuzZuX_IHWpvlqjt0vFRYVtnhd3iRvNVJbSYOw_976cXAuMwwzDyFXrMgZK8zNBg_bvCwYy7k5I3MmpNYlq5SYkfl3bXjFND8ny3F8KyYpJQVTF-S1pg_DJ3Z0FRHGRA8uIvahf6F1Sth76B3Sp4g-uDRE-gwxgO2QrmBET4eebsKYfkZNhInTTW0a_mF24EIX0umSzFroRlz--YI0u22zvsv2j7f363qfBVOkrNJWF5ZLboVomfLaVVJLsE6pKbWTKQ2AxlhdSt9q7k0FzPLKO2vk9FyQ619sQMTjRwzvEE9HxYQxnPMvwdRW4Q</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Baskaran, V.</creator><creator>Bali, R. K.</creator><creator>Naguib, R. N. G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility</title><author>Baskaran, V. ; Bali, R. K. ; Naguib, R. N. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-87b70b353b44f16d7c8575abc66c85fc6667aae99b725df73d98a1b38dcb950b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Algorithm design and analysis</topic><topic>attendance</topic><topic>Breast cancer</topic><topic>Breast screening</topic><topic>Classification algorithms</topic><topic>neural networks</topic><topic>prediction</topic><topic>Prediction algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Baskaran, V.</creatorcontrib><creatorcontrib>Bali, R. K.</creatorcontrib><creatorcontrib>Naguib, R. N. G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Baskaran, V.</au><au>Bali, R. K.</au><au>Naguib, R. N. G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility</atitle><btitle>2011 Developments in E-systems Engineering</btitle><stitle>dese</stitle><date>2011-12</date><risdate>2011</risdate><spage>164</spage><epage>167</epage><pages>164-167</pages><isbn>1457721864</isbn><isbn>9781457721861</isbn><abstract>Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians' intervention has been accepted as one of the reliable countermeasures aimed at increasing screening attendance. A prediction tool would focus on and benefit these interventions only on the non-attendees instead of the whole screening population. A number of predictors have been proposed for making efficient predictions. This paper discusses one such predictor attribute, based on distance travelled from screening women's residence to the screening facility. We further test the attribute on an actual dataset and present the results.</abstract><pub>IEEE</pub><doi>10.1109/DeSE.2011.39</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1457721864
ispartof 2011 Developments in E-systems Engineering, 2011, p.164-167
issn
language eng
recordid cdi_ieee_primary_6149933
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Algorithm design and analysis
attendance
Breast cancer
Breast screening
Classification algorithms
neural networks
prediction
Prediction algorithms
title A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T11%3A29%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20Novel%20Breast%20Screening%20Attendance%20Predictor%20Variable%20Based%20on%20Distance%20Travelled%20to%20Screening%20Facility&rft.btitle=2011%20Developments%20in%20E-systems%20Engineering&rft.au=Baskaran,%20V.&rft.date=2011-12&rft.spage=164&rft.epage=167&rft.pages=164-167&rft.isbn=1457721864&rft.isbn_list=9781457721861&rft_id=info:doi/10.1109/DeSE.2011.39&rft_dat=%3Cieee_6IE%3E6149933%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6149933&rfr_iscdi=true