Automated data preparation for in vivo tumor characterization with machine learning

BACKGROUND: This study proposes machine learning-driven data preparation (MLDP) for optimal data preparation (DP) prior to building prediction models for cancer cohorts. METHODS: A collection of well-established DP methods were incorporated for building the DP pipelines for various clinical cohorts...

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Detalles Bibliográficos
Autores principales: Krajnc, Denis, Spielvogel, Clemens P., Grahovac, Marko, Ecsedi, Boglarka, Rasul, Sazan, Poetsch, Nina, Traub-Weidinger, Tatjana, Haug, Alexander R., Ritter, Zsombor, Alizadeh, Hussain, Hacker, Marcus, Beyer, Thomas, Papp, Laszlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595446/
https://www.ncbi.nlm.nih.gov/pubmed/36303841
http://dx.doi.org/10.3389/fonc.2022.1017911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595446/
https://www.ncbi.nlm.nih.gov/pubmed/36303841
http://dx.doi.org/10.3389/fonc.2022.1017911

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