An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy-Reference-Cited by-同舟云学术

An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Castellana Fabio¹,Aresta Simona¹,Sorino Paolo²,Bortone Ilaria¹,Lofu Domenico²,Narducci Fedelucio²,Di Noia Tommaso²,Di Sciascio Eugenio²,Sardone Rodolfo¹

Affiliation:

1. Data Sciences and Innovation N.I of Gastroenterology “S. de Bellis”,Castellana Grotte,Italy

2. Politecnico di Bari,Dept. of Electrical and Information Engineering (DEI),Bari,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945542.pdf?arnumber=9945542

Reference14 articles.

1. Traditional Dietary Patterns and Risk of Mortality in a Longitudinal Cohort of the Salus in Apulia Study

2. Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach

3. Physical Frailty, Multimorbidity, and All-Cause Mortality in an Older Population From Southern Italy: Results from the Salus in Apulia Study

4. Traditional Old Dietary Pattern of Castellana Grotte (Apulia) Is Associated with Healthy Outcomes

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