Research Article: Machine Learning Algorithm to Estimate Distant Breast Cancer Recurrence at the Population Level with Administrative Data
Introduction:
Cancer recurrence is considered to be an important cancer outcome metric to measure the burden of the disease and success of (neo)adjuvant therapies. Despite this, high-quality breast cancer recurrence rates currently remain unknown in most countries, including Belgium. To date, cancer recurrence is not systematically registered in most population-based cancer registries, due to the difficulty and labor-intensity of registering follow-up for recurrences.
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