Biodata Tyo Survival. A comparison of machine learning techniques for survival prediction in breast cancer Leonardo Vanneschi 1 Antonella Farinaccio 1 Giancarlo Mauri 1 Marco Antoniotti 1 Paolo Provero 23 & Mario Giacobini 24 BioData Mining volume 4.
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Survival analysis was used to establish a prognostic model of survival and immunerelated DEGs Based on genomic and clinicopathological data we constructed a nomogram to predict the prognosis of HCC patients Gene set enrichment analysis further clarified the signalling pathways of the highrisk and lowrisk groups constructed based on the IRGs in HCC.
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The use of biodata for employee selection has a long history (Stokes 1999)The results of both individual studies (eg Harold McFarland & Weekley 2006) and metaanalyses (eg Schmidt & Hunter 1998) have demonstrated the value of using personal history information as a predictorIn fact many researchers (eg Ployhart Schneider & Schmitt 2006) have.
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