Modelling Glucose Levels from Wearable Biosensors
Ensemble is an artificial intelligence, machine learning and data science event going virtual from Peak HQ in Manchester.
Title: Modelling glucose levels from wearable biosensors
Speakers: Nicholas Phillips
Date: Tuesday 14th December
Time: 12:00pm GMT
Ensemble is an artificial intelligence, machine learning and data science event held regularly at Peak in Manchester. This time we are going virtual! Like an ensemble model, the event will allow learning through exposure to a diverse set of experiences. Each month, a top researcher from the fields of computer science, statistics or operational research will be invited to present their work. The audience will be made up of data scientists, software engineers, researchers and company CIOs from tech companies and universities.
This will be a great opportunity to learn and network with fellow professionals and academics in the field.
Probabilistic modelling of glucose levels using temporal data from multiple wearable biosensors
A new generation of wearable biosensors and mobile applications can now measure physiological variables with high time resolution and can provide essential information about the health status of an individual. Here I will present our ongoing study that aims to characterise relationships between physiological systems by using multiple wearable devices simultaneously. In our study we measure meals, glucose levels, heart rate and physical activity, and the ultimate goal is to create a mathematical model that explains the relationships between all of the variables on an individual, personalised basis.