Selected Publications

Adherence to Personal Health Devices: A Case Study in Diabetes Management
Accepted
,
2020
Sudip Vhaduri, Temiloluwa Prioleau
This paper takes a data mining approach to study adherence to continuous glucose monitors in diabetes management.
Understanding Reflection Needs for Personal Health Data in Diabetes
Accepted
,
2020
Temiloluwa Prioleau, Ashutosh Sabharwal, Madhuri Vasudevan
In this work, we conducted a two-phase user-study involving patients, caregivers, and clinicians to understand gaps in current approaches that support reflection and user needs for new solutions.
Data-Driven Insights on Behavioral Factors that Affect Diabetes Management
Accepted
,
2020
Samuel Morton, Rui Li, Sayanton Dibbo, Temiloluwa Prioleau
In this paper, we employ a data-driven approach to study the relationship between key behavioral factors (sleep, meal size, insulin dose) and proximal diabetic management indicators.
Neural Physiological Model: A Simple Module for Blood Glucose Prediction
Accepted
,
2020
Kang Gu, Ruoqi Dang, Temiloluwa Prioleau
In this paper, we present Neural Physiological Encoder (NPE), a simple module that leverages decomposed convolutional filters to automatically generate effective features that can be used with a downstream neural network for blood glucose prediction.

My AH Lab Projects