Comparing classification methods for predicting survival probabilities in the elderly
We examine how different classification methods and different factors affect the prediction of the survival probabilities in the elderly. We group health related attributes into different categories and generate different frailty indexes from them. We explore how these different indexes, weighted an...
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| creator | Serene, W.H.W. Cercone, N. |
| description | We examine how different classification methods and different factors affect the prediction of the survival probabilities in the elderly. We group health related attributes into different categories and generate different frailty indexes from them. We explore how these different indexes, weighted and un-weighted affect the classification. All experiments have been cross-validated using 10-fold evaluation. The two performance metrics used are classification accuracy and area under the ROC curve. Our approach performs better than the frailty index model, but not as good as the ANN method when AUC is used. |
| doi_str_mv | 10.1109/BIBMW.2008.4686221 |
| format | Conference Proceeding |
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Our approach performs better than the frailty index model, but not as good as the ANN method when AUC is used.</description><subject>Aging</subject><subject>Artificial neural networks</subject><subject>Classification tree analysis</subject><subject>Computer science</subject><subject>Decision trees</subject><subject>Geriatrics</subject><subject>Measurement</subject><subject>Predictive models</subject><subject>Senior citizens</subject><subject>Stress</subject><isbn>1424428904</isbn><isbn>9781424428908</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE9LAzEUxANS0NZ-Ab3k5K01_zc52qK1UPFi8bhks29tJLtbk7TQb--Wdi4Db34Mj0HogZI5pcQ8L9aLj-85I0TPhdKKMXqDxlQwIZg2RIzQ-JwZLiXRt2ia0i8ZJCSXht6h7bJv9zb67ge7YFPyjXc2-77DLeRdXyfc9BHvI9Te5TOVDvHojzYMt76ylQ8-e0jYdzjvAEOoIYbTPRo1NiSYXn2Ctm-vX8v32eZztV6-bGaeEZVnlquiEaJyTWF5RUA6oV1lLbFUEMNUrQTnDLgwUjtFFeVFzYuCmVoZRozgE_R06R2e-TtAymXrk4MQbAf9IZWMSEqFVgP4eAE9AJT76FsbT-V1L_4P5uBfMA</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Serene, W.H.W.</creator><creator>Cercone, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20080101</creationdate><title>Comparing classification methods for predicting survival probabilities in the elderly</title><author>Serene, W.H.W. ; Cercone, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i206t-a367f44bcf7a3b0e5c48cbaa0a140926d64332e34958c616137d37729d6920943</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Aging</topic><topic>Artificial neural networks</topic><topic>Classification tree analysis</topic><topic>Computer science</topic><topic>Decision trees</topic><topic>Geriatrics</topic><topic>Measurement</topic><topic>Predictive models</topic><topic>Senior citizens</topic><topic>Stress</topic><toplevel>online_resources</toplevel><creatorcontrib>Serene, W.H.W.</creatorcontrib><creatorcontrib>Cercone, N.</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 Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Serene, W.H.W.</au><au>Cercone, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparing classification methods for predicting survival probabilities in the elderly</atitle><btitle>2008 IEEE International Conference on Bioinformatics and Biomedicine Workshops</btitle><stitle>BIBMW</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>117</spage><epage>119</epage><pages>117-119</pages><isbn>1424428904</isbn><isbn>9781424428908</isbn><abstract>We examine how different classification methods and different factors affect the prediction of the survival probabilities in the elderly. We group health related attributes into different categories and generate different frailty indexes from them. We explore how these different indexes, weighted and un-weighted affect the classification. All experiments have been cross-validated using 10-fold evaluation. The two performance metrics used are classification accuracy and area under the ROC curve. Our approach performs better than the frailty index model, but not as good as the ANN method when AUC is used.</abstract><pub>IEEE</pub><doi>10.1109/BIBMW.2008.4686221</doi><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aging Artificial neural networks Classification tree analysis Computer science Decision trees Geriatrics Measurement Predictive models Senior citizens Stress |
| title | Comparing classification methods for predicting survival probabilities in the elderly |
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