Machine learning algorithms to predict financial toxicity associated with breast cancer treatment.
Volume: 38, Issue: 15_suppl, Pages: 2047 - 2047
Published: May 20, 2020
Abstract
2047 Background: Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but objective identification of individuals in need is difficult. Accurate predictions of an individual’s risk of financial toxicity prior to initiation of breast cancer treatment may facilitate informed clinical decision making, reduce financial burden, and improve patient...
Paper Details
Title
Machine learning algorithms to predict financial toxicity associated with breast cancer treatment.
Published Date
May 20, 2020
Journal
Volume
38
Issue
15_suppl
Pages
2047 - 2047
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