Using Machine Learning to Identify Benign Cases with Non-Definitive Biopsy.
Healthcom
; 2013(15th): 283-285, 2013 Oct 09.
Article
en En
| MEDLINE
| ID: mdl-26501132
ABSTRACT
When mammography reveals a suspicious finding, a core needle biopsy is usually recommended. In 5% to 15% of these cases, the biopsy diagnosis is non-definitive and a more invasive surgical excisional biopsy is recommended to confirm a diagnosis. The majority of these cases will ultimately be proven benign. The use of excisional biopsy for diagnosis negatively impacts patient quality of life and increases costs to the healthcare system. In this work, we employ a multi-relational machine learning approach to predict when a patient with a non-definitive core needle biopsy diagnosis need not undergo an excisional biopsy procedure because the risk of malignancy is low.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Aspecto:
Patient_preference
Idioma:
En
Revista:
Healthcom
Año:
2013
Tipo del documento:
Article
País de afiliación:
Estados Unidos