BMIPredict
50+
Downloads
Everyone
info
About this app
The BMIPredict app makes a prediction from 2 individual variables (age and height) and 2 behavioral variables (the percentage of time spent in light activity during the day and the daily number of servings of vegetables consumed). These last 2 variables can be quantified using the WellBeNet application available on the PlayStore. Physical activity is determined precisely from the accelerometry data collected by the smartphone.
From the information entered in the application, the probability of belonging to the normal weight status, overweight or obese is presented in the form of histograms. The prediction comes from an algorithm produced by a neural network
From the information entered in the application, the probability of belonging to the normal weight status, overweight or obese is presented in the form of histograms. The prediction comes from an algorithm produced by a neural network
Updated on
Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
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No data collected
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What’s new
1ere version de BMIPredict: prédiction du statut pondéral à partir de données comportementales
App support
phone
Phone number
+33473624679
About the developer
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE L'ALIMENTATION ET L'ENVIRONNEMENT
sylvie.rousset@inrae.fr
147 RUE DE L'UNIVERSITE
75007 PARIS
France
+33 6 74 40 20 52
