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Modelling time evolution of in blood alcohol concentration

Gelabert, A. O.

2021-07-26 biophysics
10.1101/2021.07.25.452934 bioRxiv
Show abstract

A theoretical model based on mass conservation is proposed to predict blood alcohol concentration (BAC) over time. The proposed model takes as input the body parameters, the data timing for each drink, as well as his alcoholic strength and ingested amount. Three test cases with variations are presented and discussed. The results given are obtained by solving numerically the equation proposed. The solution predicts a well located alcohol peak and a reasonable time of alcohol body cleaning. This model represents a first order approach to a complex problem. Similar scenarios, like, for instance, drug concentrations can be modelled by using the same concept. The proposed model has been implemented on easy-to-use program COGORZA, which source code is available online at https://github.com/tonibois/Cogorza.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.