A review of digital innovations for diet monitoring and precision nutrition

BJ Mortazavi… - Journal of diabetes …, 2023 - journals.sagepub.com
This article provides an up-to-date review of technological advances in 3 key areas related
to diet monitoring and precision nutrition. First, we review developments in mobile …

A systems approach to achieve equity in healthcare research

A Sabharwal, S Barua, D Kerr - GetMobile: Mobile Computing and …, 2022 - dl.acm.org
Healthcare in the United States is inequitable. The consequence of inequity is that the
burden of serious chronic disease, such as diabetes, falls disproportionately on populations …

Predicting the macronutrient composition of mixed meals from dietary biomarkers in blood

A Das, B Mortazavi, S Sajjadi… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Diet monitoring is an essential intervention component for a number of diseases, from type 2
diabetes to cardiovascular diseases. However, current methods for diet monitoring are …

Modeling individual differences in food metabolism through alternating least squares

A Das, B Mortazavi, N Deutz… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Understanding how macronutrients (eg, carbohydrates, protein, fat) affect blood glucose is of
broad interest in health and dietary research. The general effects are well known, eg, adding …

Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation

L Zhang, S Huang, A Das, E Do… - 2023 IEEE EMBS …, 2023 - ieeexplore.ieee.org
Type 2 diabetes has a significant impact on individuals' health and well-being, and diet
monitoring is an important tool in treating individuals. Accurate estimation of meal intake is …

[PDF][PDF] Personalized Meal Classification Using Continuous Glucose Monitors.

P Paromita, T Chaspari, S Sajjadi, A Das, BJ Mortazavi… - IUI Workshops, 2021 - ceur-ws.org
Managing diabetes mellitus (DM) requires monitoring the glucose response to meals, also
known as the postprandial glucose response (PPGR). The PPGR to a meal is significantly …

Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers

S Omidvar, AR Roghanizad, L Chikwetu… - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Proper diet monitoring is a cornerstone of preventing and treating Type 2 Diabetes.
However, this usually relies on burdensome manual meal logging. Continuous glucose …

Macronutrient constraints and priors improve carbohydrate predictions from continuous glucose monitors

A Das, E Do, N Glanz, W Bevier… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
We propose an approach to estimate the macronu-trients in a meal automatically by
analyzing the meal's glucose response using off-the-shelf wearable sensors (continuous …

A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals

M Yang, P Paromita, T Chaspari, A Das… - 2021 IEEE EMBS …, 2021 - ieeexplore.ieee.org
Managing diabetes requires following a healthy lifestyle, including monitoring dietary intake.
Prior work has shown that meals with different macronutrient composition can have distinct …

Flexible Models for Heterogeneous Biomedical Data

L Zhang - 2023 - search.proquest.com
With the development of biomedical sensing techniques and data storage, machine learning
has been widely applied to many healthcare applications from the abundance of data …