In this project you will train a machine model to assess whether a person has eaten a meal or not eaten a meal.
computer science
Description
Project Description
In this project you will train a machine model to assess whether a person has eaten a meal or not eaten a meal. A training data set is provided.
Directions
Meal data can be extracted as follows: From the InsulinData.csv file, search the column Y for a non NAN non zero value. This time indicates the start of meal consumption time tm. Meal data comprises a 2hr 30 min stretch of CGM data that starts from tm-30min and extends to tm+2hrs. No meal data comprises 2 hrs of raw data that does not have meal intake.
Start of a meal can be obtained from InsulinData.csv. Search column Y for a non NAN non zero value. This time indicates the start of a meal. There can be three conditions: ● There is no meal from time tm to time tm+2hrs. Then use this stretch as mealdata
● There is a meal at some time tp in between tp>tm and tp< tm+2hrs. Ignore the meal data at time tm and consider the meal at time tp instead.
● There is a meal at time tm+2hrs, then consider the stretch from tm+1hr 30min to tm+4hrs as
meal data.
Instruction Files
proje.pdf
120.9 KB
