Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.

For starters, although there might be significant predictors of survival such as the quantity and location of bone metastases, the systemic immune-inflammation index ( 29 ), and the Charlson comorbidity index ( 29 ), these variables were not available in the SEER database.

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