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Survival analysis in hematopoietic stem cell transplantation for multiple myeloma: methodology and survival predictions

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dc.contributor.authorBelmonte, José María
dc.contributor.authorBlanquer Blanquer, Miguel
dc.contributor.authorBernabé García, Gregorio
dc.contributor.authorJiménez Barrionuevo, Fernando
dc.contributor.authorGarcía Carrasco, José Manuel
dc.contributor.departmentIngeniería y Tecnología de Computadores
dc.date.accessioned2025-05-16T06:43:10Z
dc.date.available2025-05-16T06:43:10Z
dc.date.issued2025-04-25
dc.description© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.description.abstractThis work explores the application of Survival Analysis in the context of hematopoietic stem cell transplantation for multiple myeloma to enhance the predictive capacity and interpretability of transplant outcomes and inspect the patients’ overall survival. Our methodology uses all the proposed Survival Analysis models. These models are used to conduct a feature importance analysis and do some survival predictions with the interpretation of patient outcomes. The dataset, comprising 254 instances and 15 attributes, includes medical information collected from multiple myeloma patients before hematopoietic stem cell transplantation procedures. The primary objective of this work is to assess the robustness of Survival Analysis models with our data based on the concordance index metric. Through feature importance analysis, it has been revealed that variables such as the International Staging System, treatment lines, age, and disease relapse play pivotal roles in determining patient survival post-transplant. Survival predictions have been conducted for three distinct cases from the dataset, evaluating the risks patients may encounter following their treatments. These results have been validated by healthcare professionals, underscoring the reliability and applicability of this study’s findings in medical scenarios.
dc.embargo.terms1-ene-2999
dc.formatapplication/pdfes
dc.format.extent10es
dc.identifier.doihttps://doi.org/10.1007/978-3-031-87873-2_11
dc.identifier.eissnPrint: 978-3-031-87872-5
dc.identifier.eissnElectronic: 978-3-031-87873-2
dc.identifier.urihttp://hdl.handle.net/10201/154743
dc.languageenges
dc.publisherSpringer Nature
dc.relationThis work has been partially funded by Grant TED2021-129221B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”.es
dc.relation.ispartofPractical Applications of Computational Biology and Bioinformatics, 18th International Conference (PACBB 2024), p.p. 101-110es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-87873-2_11
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectSurvival Analysis
dc.subjectHematopoietic Stem Cell Transplantation
dc.subjectMultiple Myeloma
dc.subjectFeature importance
dc.subjectSurvival predictions
dc.titleSurvival analysis in hematopoietic stem cell transplantation for multiple myeloma: methodology and survival predictionses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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relation.isAuthorOfPublication404a0104-abec-4ca6-90f7-736fe80c711f
relation.isAuthorOfPublication.latestForDiscovery2794161c-d169-4661-aac8-f9ff11d079d2
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