Publication: Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science
dc.contributor.author | Montes-Torres, Julio | |
dc.contributor.author | Subirats, Jose Luis | |
dc.contributor.author | Ribelles, Nuria | |
dc.contributor.author | Urda, Daniel | |
dc.contributor.author | Franco, Leonardo | |
dc.contributor.author | Alba, Emilio | |
dc.contributor.author | Jerez, Jose Manuel | |
dc.contributor.authoraffiliation | [Montes-Torres, Julio] Univ Malaga, Dept Comp Sci, Malaga, Spain | |
dc.contributor.authoraffiliation | [Luis Subirats, Jose] Univ Malaga, Dept Comp Sci, Malaga, Spain | |
dc.contributor.authoraffiliation | [Urda, Daniel] Univ Malaga, Dept Comp Sci, Malaga, Spain | |
dc.contributor.authoraffiliation | [Franco, Leonardo] Univ Malaga, Dept Comp Sci, Malaga, Spain | |
dc.contributor.authoraffiliation | [Manuel Jerez, Jose] Univ Malaga, Dept Comp Sci, Malaga, Spain | |
dc.contributor.authoraffiliation | [Luis Subirats, Jose] Yachay Tech Univ, Urcuqui, Imbabura, Ecuador | |
dc.contributor.authoraffiliation | [Ribelles, Nuria] Virgen de la Victoria Univ Hosp, Malaga, Spain | |
dc.contributor.authoraffiliation | [Alba, Emilio] Virgen de la Victoria Univ Hosp, Malaga, Spain | |
dc.contributor.authoraffiliation | [Montes-Torres, Julio] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Luis Subirats, Jose] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Ribelles, Nuria] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Urda, Daniel] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Franco, Leonardo] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Alba, Emilio] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.authoraffiliation | [Manuel Jerez, Jose] Malaga Biomed Res Inst IBIMA, Malaga, Spain | |
dc.contributor.funder | MICINN-SPAIN (Spanish Government) | |
dc.contributor.funder | Junta de Andalucia | |
dc.contributor.funder | FEDER funds (European Union) | |
dc.date.accessioned | 2023-02-12T02:22:18Z | |
dc.date.available | 2023-02-12T02:22:18Z | |
dc.date.issued | 2016-08-17 | |
dc.description.abstract | One of the prevailing applications of machine learning is the use of predictive modelling in clinical survival analysis. In this work, we present our view of the current situation of computer tools for survival analysis, stressing the need of transferring the latest results in the field of machine learning to biomedical researchers. We propose a web based software for survival analysis called OSA (Online Survival Analysis), which has been developed as an open access and user friendly option to obtain discrete time, predictive survival models at individual level using machine learning techniques, and to perform standard survival analysis. OSA employs an Artificial Neural Network (ANN) based method to produce the predictive survival models. Additionally, the software can easily generate survival and hazard curves with multiple options to personalise the plots, obtain contingency tables from the uploaded data to perform different tests, and fit a Cox regression model from a number of predictor variables. In the Materials and Methods section, we depict the general architecture of the application and introduce the mathematical background of each of the implemented methods. The study concludes with examples of use showing the results obtained with public datasets. | |
dc.description.version | Si | |
dc.identifier.citation | Montes-Torres J, Subirats JL, Ribelles N, Urda D, Franco L, Alba E, et al. Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science. PLoS One. 2016 Aug 17;11(8):e0161135. | |
dc.identifier.doi | 10.1371/journal.pone.0161135 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.unpaywallURL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0161135&type=printable | |
dc.identifier.uri | http://hdl.handle.net/10668/19156 | |
dc.identifier.wosID | 381487600062 | |
dc.issue.number | 8 | |
dc.journal.title | Plos one | |
dc.journal.titleabbreviation | Plos one | |
dc.language.iso | en | |
dc.organization | Instituto de Investigación Biomédica de Málaga-IBIMA | |
dc.organization | Hospital Universitario Virgen de la Victoria | |
dc.provenance | Realizada la curación de contenido 07/08/2025. | |
dc.publisher | Public library science | |
dc.relation.projectID | TIN2014-58516-c2-1-R | |
dc.relation.projectID | TIN2010-16556 | |
dc.relation.projectID | P08-TIC-4026 | |
dc.relation.publisherversion | https://dx.plos.org/10.1371/journal.pone.0161135 | |
dc.rights | Attribution 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Distributions | |
dc.subject | Cancer | |
dc.subject | Tests | |
dc.subject.decs | Análisis de supervivencia | |
dc.subject.decs | Aprendizaje automático | |
dc.subject.decs | Modelado predictivo | |
dc.subject.decs | Redes neuronales artificiales | |
dc.subject.decs | Regresión de Cox | |
dc.subject.decs | Investigación biomédica | |
dc.subject.mesh | Survival Analysis | |
dc.subject.mesh | Machine Learning | |
dc.subject.mesh | Predictive Modeling | |
dc.subject.mesh | Artificial Neural Networks | |
dc.subject.mesh | Cox Regression | |
dc.subject.mesh | Biomedical Research | |
dc.title | Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 11 | |
dc.wostype | Article | |
dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Montes-Torres_AdvancedOnline.pdf
- Size:
- 3.19 MB
- Format:
- Adobe Portable Document Format