Protocol for training MERGE: A federated multi-input neural network for COVID-19 prognosis.
STAR Protoc
; 5(1): 102812, 2024 Mar 15.
Article
en En
| MEDLINE
| ID: mdl-38180836
ABSTRACT
Federated learning is a cooperative learning approach that has emerged as an effective way to address privacy concerns. Here, we present a protocol for training MERGE a federated multi-input neural network (NN) for COVID-19 prognosis. We describe steps for collecting and preprocessing datasets. We then detail the process of training a multi-input NN. This protocol can be adapted for use with datasets containing both image- and table-based input sources. For complete details on the use and execution of this protocol, please refer to Casella et al.1.
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Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
COVID-19
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
STAR Protoc
Año:
2024
Tipo del documento:
Article