- Conference Paper
Rights / licenseCreative Commons Attribution-NonCommercial 4.0 International
When patients with cancer develop depression, it is often left untreated. We developed a prediction model for depression risk within the first month after starting cancer treatment using machine learning and Natural Language Processing (NLP) models. The LASSO logistic regression model based on structured data performed well, whereas the NLP model based on only clinician notes did poorly. After further validation, prediction models for depression risk could lead to earlier identification and treatment of vulnerable patients, ultimately improving cancer care and treatment adherence. Show more
Book titleCaring is Sharing – Exploiting the Value in Data for Health and Innovation: Proceedings of MIE 2023
Journal / seriesStudies in Health Technology and Informatics
Pages / Article No.
SubjectDepression; Machine learning; Natural language processing; Oncology
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