Knowledge discovery from a breast cancer database
Identifieur interne : 000E08 ( Istex/Corpus ); précédent : 000E07; suivant : 000E09Knowledge discovery from a breast cancer database
Auteurs : Subramani Mani ; Michael J. Pazzani ; John WestSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1997.
Abstract
Abstract: We report on the use of various Machine Learning algorithms on an electronic database of breast cancer patients. The task was to predict breast cancer recurrence using a short subset of clinical attributes such as tumor presence, tumor size, invasive nature of tumor, number of lymph nodes involved, severity of lymphedema and stage of tumor. The predictive accuracy over fifty runs employing test sets not used to build the model were 63.4%(Cart), 63.9%(C45), 62.5%(C45rules), 66.4%(FOCL) and 68.3%(Naive Bayes). An extension of the model using additional features and larger datasets is contemplated.
Url:
DOI: 10.1007/BFb0029444
Links to Exploration step
ISTEX:1E4C13AE2D7822CA7258C5F044FBEBD4F09D3D78Le document en format XML
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The task was to predict breast cancer recurrence using a short subset of clinical attributes such as tumor presence, tumor size, invasive nature of tumor, number of lymph nodes involved, severity of lymphedema and stage of tumor. The predictive accuracy over fifty runs employing test sets not used to build the model were 63.4%(Cart), 63.9%(C45), 62.5%(C45rules), 66.4%(FOCL) and 68.3%(Naive Bayes). 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The task was to predict breast cancer recurrence using a short subset of clinical attributes such as tumor presence, tumor size, invasive nature of tumor, number of lymph nodes involved, severity of lymphedema and stage of tumor. The predictive accuracy over fifty runs employing test sets not used to build the model were 63.4%(Cart), 63.9%(C45), 62.5%(C45rules), 66.4%(FOCL) and 68.3%(Naive Bayes). An extension of the model using additional features and larger datasets is contemplated.</abstract><relatedItem type="host"><titleInfo><title>Artificial Intelligence in Medicine</title><subTitle>6th Conference on Artificial Intelligence in Medicine Europe, AIME'97 Grenoble, France, March 23–26, 1997 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Elpida</namePart><namePart type="family">Keravnou</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Catherine</namePart><namePart type="family">Garbay</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="family">Baud</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jeremy</namePart><namePart type="family">Wyatt</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">1997</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="H28009">Health Informatics</topic></subject><identifier type="DOI">10.1007/BFb0029429</identifier><identifier type="ISBN">978-3-540-62709-8</identifier><identifier type="eISBN">978-3-540-68448-0</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">46755</identifier><identifier type="BookID">3-540-62709-X</identifier><identifier type="BookChapterCount">58</identifier><identifier type="BookVolumeNumber">1211</identifier><part><date>1997</date><detail type="volume"><number>1211</number><caption>vol.</caption></detail><extent unit="pages"><start>130</start><end>133</end></extent></part><recordInfo><recordOrigin>Springer-Verlag, 1997</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title><subTitle>Lecture Notes in Artificial Intelligence (LNAI)</subTitle></titleInfo><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">G.</namePart><namePart type="family">Goos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Hartmanis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">van Leeuwen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">1997</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag, 1997</recordOrigin></recordInfo></relatedItem><identifier type="istex">1E4C13AE2D7822CA7258C5F044FBEBD4F09D3D78</identifier><identifier type="DOI">10.1007/BFb0029444</identifier><identifier type="ChapterID">15</identifier><identifier type="ChapterID">Chap15</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag, 1997</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag, 1997</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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