Statistical analysis on the effectiveness of a low insulin index, alkaline and functional diet evaluated with machine learning techniques

2024/09/26 by Antoniali, Fabiana, Conza, Maria Luisa, Conventi, Francesco Alessandro +10
#Applied Physics (physics.app-ph) #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.2409.18221

Abstract

In this paper, a statistical analysis of the performance of a low insulin index, alkaline and functional diet developed by ANTUR evaluated with machine learning techniques is reported. The sample of patients was checked on a regular basis with a BioImpedenziometric (BIA) analysis. The BIA gives about 40 parameters output describing the health status of the patient. The sample of 1626 patients was grouped in clusters with similar characteristics by a neural network algorithm. A study of the behaviour of the BIA parameters evolution over time with respect to the first visit was performed. More than the 75% of the patient that followed the ANTUR diet showed an improvement of the health status.

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