Predicting Depression Risk in Patients with Cancer Using Multimodal Data.
Stud Health Technol Inform
; 302: 817-818, 2023 May 18.
Article
en En
| MEDLINE
| ID: mdl-37203503
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.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Depresión
/
Neoplasias
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Stud Health Technol Inform
Asunto de la revista:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Año:
2023
Tipo del documento:
Article
País de afiliación:
Países Bajos