Independent Validation of a Comprehensive Machine Learning Approach Predicting Survival After Radiotherapy for Bone Metastases.

Journal: Anticancer research

PMID: 33788739

Abstract

BACKGROUND/AIM: The aim of this study was to analyze the survival predictions obtained from a web platform allowing for computation of the so-called Bone Metastases Ensemble Trees for Survival (BMETS). This prediction model is based on a machine learning approach and considers 27 prognostic covariates.

Authors

Carsten Nieder

Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway; carsten.nieder@nlsh.no.
Bård Mannsåker

Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway.
Rosalba Yobuta

Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway.

Keywords

Adult Aged Aged, 80 and over Bone Neoplasms Breast Neoplasms Humans Kaplan-Meier Estimate Lung Neoplasms Machine Learning Male Middle Aged Palliative Care Prognosis Prostatic Neoplasms Radiation Oncology Retrospective Studies

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View on PubMed Access via DOI PubMed (33788739)

Independent Validation of a Comprehensive Machine Learning Approach Predicting Survival After Radiotherapy for Bone Metastases.

Abstract

Authors

Keywords

External Resources

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