Predicting Depression Risk in Patients with Cancer Using Multimodal Data
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Author / Producer
Date
2023-05-18
Publication Type
Conference Paper
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yes
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Abstract
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.
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Publication status
published
External links
Book title
Caring is Sharing – Exploiting the Value in Data for Health and Innovation: Proceedings of MIE 2023
Journal / series
Volume
302
Pages / Article No.
817 - 818
Publisher
IOS Press
Event
34th Medical Informatics in Europe Conference (MIE 2023)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Depression; Machine learning; Natural language processing; Oncology