Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language Processing.

ABSTRACT:

Importance

Predicting short- and long-term survival of patients with cancer may improve their care. Prior predictive models either use data with limited availability or predict the outcome of only 1 type of cancer.

Objective

To investigate whether natural language processing can predict survival of patients with general cancer from a patient's initial oncologist consultation document.

Design, setting, and participants

This retrospective prognostic study used data from 47 625 of 59 800 patients who started cancer care at any of the 6 BC Cancer sites located in the province of British Columbia between April 1, 2011, and December 31, 2016. Mortality data were updated until April 6, 2022, and data were analyzed from update until September 30, 2022. All patients with a med

SUBMITTER: Nunez JJ 

PROVIDER: S-EPMC9972192 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature