Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment.
Neuroimaging Clin N Am
; 30(4): 433-445, 2020 Nov.
Article
en En
| MEDLINE
| ID: mdl-33038994
ABSTRACT
The deployment of machine learning (ML) models in the health care domain can increase the speed and accuracy of diagnosis and improve treatment planning and patient care. Translating academic research to applications that are deployable in clinical settings requires the ability to generalize and high reproducibility, which are contingent on a rigorous and sound methodology for the development and evaluation of ML models. This article describes the fundamental concepts and processes for ML model evaluation and highlights common workflows. It concludes with a discussion of the requirements for the deployment of ML models in clinical settings.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Interpretación de Imagen Asistida por Computador
/
Neuroimagen
/
Aprendizaje Automático
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Neuroimaging Clin N Am
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
NEUROLOGIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Canadá