Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading.

Monteiro, Jacqueline Pontes; Morine, Melissa J; Ued, Fabio V; Kaput, Jim

Monteiro, Jacqueline Pontes; Morine, Melissa J; Ued, Fabio V; Kaput, Jim.

Afiliación

Monteiro JP; Department of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Bandeirantes Avenue, 3900, Ribeirão Preto 14049-900, Brazil.
Morine MJ; Vydiant Inc., Dallas, TX 75201, USA.
Ued FV; Department of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Bandeirantes Avenue, 3900, Ribeirão Preto 14049-900, Brazil.
Kaput J; Vydiant Inc., Dallas, TX 75201, USA.

Nutrients ; 15(2)2023 Jan 05.

Article en En | MEDLINE | ID: mdl-36678141

Asunto(s)

Dieta; Proteómica; Humanos; Proteómica/métodos; Alimentos; Estado Nutricional; Nutrientes

Palabras clave

artificial intelligence; diet proteomics; food proteomics; machine reading; nutriproteomics; nutrition proteomics; transformer-based language model

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteómica / Dieta Límite: Humans Idioma: En Revista: Nutrients Año: 2023 Tipo del documento: Article País de afiliación: Brasil

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