Publicação
Logic programming and artificial neural networks in breast cancer detection
| Resumo: | About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening. |
|---|---|
| Autores principais: | Neves, José |
| Outros Autores: | Guimarães, Tiago; Gomes, Sabino; Vicente, Henrique; Santos, Mariana; Neves, João; Machado, José; Novais, Paulo |
| Assunto: | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866877693625106432 |
|---|---|
| author | Neves, José |
| author2 | Guimarães, Tiago Gomes, Sabino Vicente, Henrique Santos, Mariana Neves, João Machado, José Novais, Paulo |
| author2_role | author author author author author author author |
| author_facet | Neves, José Guimarães, Tiago Gomes, Sabino Vicente, Henrique Santos, Mariana Neves, João Machado, José Novais, Paulo |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Neves, José\"},{\"Person.name\":\"Guimarães, Tiago\"},{\"Person.name\":\"Gomes, Sabino\"},{\"Person.name\":\"Vicente, Henrique\"},{\"Person.name\":\"Santos, Mariana\"},{\"Person.name\":\"Neves, João\"},{\"Person.name\":\"Machado, José\"},{\"Person.name\":\"Novais, Paulo\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Neves, José Guimarães, Tiago Gomes, Sabino Vicente, Henrique Santos, Mariana Neves, João Machado, José Novais, Paulo |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2015-12-15T16:49:12Z |
| datacite.date.embargoed.fl_str_mv | 2015-12-15T16:49:12Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| datacite.titles.title.fl_str_mv | Logic programming and artificial neural networks in breast cancer detection |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Neves, José Guimarães, Tiago Gomes, Sabino Vicente, Henrique Santos, Mariana Neves, João Machado, José Novais, Paulo |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2015-12-15T16:49:12Z |
| dc.date.embargoed.fl_str_mv | 2015-12-15T16:49:12Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/39025 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| dc.title.fl_str_mv | Logic programming and artificial neural networks in breast cancer detection |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/da2d4f64-9a1c-40bd-aacb-b2a2108a6be2/download |
| id | rum_ad30606c8a4af87f3d7838427abd6c2f |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/39025 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/39025 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Neves, José Guimarães, Tiago Gomes, Sabino Vicente, Henrique Santos, Mariana Neves, João Machado, José Novais, Paulo |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringerporAbout 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening.application/pdfporLogic programming and artificial neural networks in breast cancer detectionNeves, JoséGuimarães, TiagoGomes, SabinoVicente, HenriqueSantos, MarianaNeves, JoãoMachado, JoséNovais, PauloHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf9783319192215ISSNIsPartOf0302-9743DOIIsPartOf10.1007/978-3-319-19222-2_182015-12-15T16:49:12Z20152015-12-10T17:48:03Z2015-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/39025http://purl.org/coar/access_right/c_abf2open accessBreast cancerTyrer-cuzick modelKnowledge representation and reasoningLogic programingArtificial Neural Networks277619 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/da2d4f64-9a1c-40bd-aacb-b2a2108a6be2/download |
| spellingShingle | Logic programming and artificial neural networks in breast cancer detection Neves, José Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| status | SINGLETON |
| subject.fl_str_mv | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| title | Logic programming and artificial neural networks in breast cancer detection |
| title_full | Logic programming and artificial neural networks in breast cancer detection |
| title_fullStr | Logic programming and artificial neural networks in breast cancer detection |
| title_full_unstemmed | Logic programming and artificial neural networks in breast cancer detection |
| title_short | Logic programming and artificial neural networks in breast cancer detection |
| title_sort | Logic programming and artificial neural networks in breast cancer detection |
| topic | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| topic_facet | Breast cancer Tyrer-cuzick model Knowledge representation and reasoning Logic programing Artificial Neural Networks |
| url | https://hdl.handle.net/1822/39025 |
| visible | 1 |