Tidepool Data Science Modeling

Metabolism Modeling

-- Project Status: [Active]

Project Intro/Objective

The purpose of this project is providing metabolism modeling tools as a stand alone library for use in other Tidepool data science projects.

Methods Used

• Time Series

Technologies

• Python3

Project Description

This code was born out of the iCGM risk analysis plan for Loop FDA submission. Since it will likely be useful to have modeled carb/insulin/etc. in a variety of contexts it has been refactored and put in this repo for easier use and testing.

Needs of this project

Getting Started

1. Clone this repo (for help see the github tutorial).
2. Import the model of interest and run. Example:

from tidepool_data_science_models.models.simple_metabolism_model import SimpleMetabolismModel

smm = SimpleMetabolismModel(
        insulin_sensitivity_factor=isf,
        carb_insulin_ratio=cir,
        insulin_model_name="palerm",
        carb_model_name="cescon",
      )

(
    net_change_in_bg_smm,
    t_5min_smm,
    carb_amount_smm,
    insulin_amount_smm,
    iob_5min_smm,
) = smm.run(num_hours=8, carb_amount=0.0, insulin_amount=1.0)

Available Models

Team Members

Ed Nykaza

Cameron Summers

Jason Meno