A novel FCTF evaluation and prediction model for food efficacy based on association rule mining.

Liu, Yaqun; Zhang, Zhenxia; Lin, Wanling; Liang, Hongxuan; Lin, Min; Wang, Junli; Chen, Lianghui; Yang, Peikui; Liu, Mouquan; Zheng, Yuzhong

Liu, Yaqun; Zhang, Zhenxia; Lin, Wanling; Liang, Hongxuan; Lin, Min; Wang, Junli; Chen, Lianghui; Yang, Peikui; Liu, Mouquan; Zheng, Yuzhong.

Afiliación

Liu Y; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Zhang Z; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Lin W; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Liang H; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Lin M; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Wang J; School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Chen L; School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Yang P; School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Liu M; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.
Zheng Y; School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.

Front Nutr ; 10: 1170084, 2023.

Article en En | MEDLINE | ID: mdl-37701374

Palabras clave

association rule mining; components; function; medicinal food; target

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Nutr Año: 2023 Tipo del documento: Article País de afiliación: China

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