Login / Signup

Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profiling.

Adrián Mosquera OrgueiraJosé Ángel Díaz AriasMiguel Cid LópezAndrés Peleteiro RaíndoBeatriz Antelo RodríguezCarlos Aliste SantosNatalia Alonso VenceÁngeles Bendaña LópezAitor Abuín BlancoLaura Bao PérezMarta Sonia González PérezManuel Mateo Pérez EncinasMáximo Francisco Fraga RodríguezJosé Luis Bello López
Published in: BMC cancer (2020)
Our results indicate that DLBCL survival models based on the application of machine learning algorithms to gene expression and clinical data can largely outperform other important prognostic variables such as disease stage and COO. Head-to-head comparisons with other risk stratification models are needed to compare its usefulness.
Keyphrases
  • diffuse large b cell lymphoma
  • gene expression
  • machine learning
  • epstein barr virus
  • dna methylation
  • big data
  • optic nerve
  • free survival
  • artificial intelligence
  • deep learning
  • electronic health record