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dc.contributor.authorXiang, J
dc.contributor.authorXu, H
dc.contributor.authorPokharel, S
dc.contributor.authorLi, J
dc.contributor.authorXue, F
dc.contributor.authorZhang, P
dc.date.accessioned2021-02-16T22:07:56Z
dc.date.available2021-02-16T22:07:56Z
dc.date.issued2020
dc.identifier.isbn9781728162157
dc.identifier.doi10.1109/BIBM49941.2020.9313144
dc.identifier.urihttp://hdl.handle.net/10072/402092
dc.description.abstractColorectal cancer is a heterogeneous disease. Its response to targeted therapies is associated with various factors, and the treatment effect differ significantly between individuals. Personalize medical treatment (PMT), which takes into consideration of individual patient characteristics, is the most effective way to deal with this issue. Patient similarity and clustering analysis is an important part in PMT. Earlier works mainly focused on similarity computation among the patients but overlook to preserve relationships. This paper presents a formal concept analysis-based approach for computing the similarity between colorectal cancer patients. The approach not only does the clustering of patients based on their similarity but also can preserve the relations between clusters in hierarchical structural form. This would allow us to build a knowledge base which is helpful for clinicians to take fast and effective decision for treatment and care of colorectal cancer patient.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
dc.relation.ispartofconferencetitleProceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
dc.relation.ispartofdatefrom2020-12-16
dc.relation.ispartofdateto2020-12-19
dc.relation.ispartofpagefrom1335
dc.relation.ispartofpageto1339
dc.subject.fieldofresearchOncology and Carcinogenesis
dc.subject.fieldofresearchcode1112
dc.titleSimilarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationXiang, J; Xu, H; Pokharel, S; Li, J; Xue, F; Zhang, P, Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, 2020, pp. 1335-1339
dc.date.updated2021-02-14T22:53:01Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorZhang, Ping


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