Temiloluwa Prioleau

Faculty

Temiloluwa Prioleau

tprioleau@dartmouth.edu

Assistant Professor

,

Computer Science

Dartmouth College

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Selected Publications

Adherence to Personal Health Devices: A Case Study in Diabetes Management

Published

,

2020

Sudip Vhaduri, Temiloluwa Prioleau

This paper takes a data mining approach to study adherence to continuous glucose monitors in diabetes management.

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Understanding Reflection Needs for Personal Health Data in Diabetes

Published

,

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.

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Data-Driven Insights on Behavioral Factors that Affect Diabetes Management

Published

,

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.

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Neural Physiological Model: A Simple Module for Blood Glucose Prediction

Published

,

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.

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Learning From the Experiences of COVID-19 Survivors: Web-Based Survey Study

Published

,

2021

Temiloluwa Prioleau

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SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports

Published

,

2021

Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau

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GlucoMine: A Case for Improving the Use of Wearable Device Data in Diabetes Management

Published

,

2021

Abigail Bartolome, Sahaj Shah, Temiloluwa Prioleau

This paper investigates potential under-utilization of wearable device data in diabetes management.

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Noninvasive Glucose Monitoring Using Polarized Light

Published

,

2020

Tianxing Li, Derek Bai, Temiloluwa Prioleau, Nam Bui, Tam Vu, Xia. Zhou

We propose a compact noninvasive glucose monitoring system using polarized light, where a user simply needs to place his/her palm on the device for measuring his/her current glucose concentration level.

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My AH Lab Projects

C19 Insider Scoop

What can we learn about COVID-19 from persons who have contracted the virus and recovered?

Digital SMD

Developing computational tools to improve digital self-management of diabetes

Non-invasive Glucose Sensing

Our goal is to develop a non-invasive mobile device that can accurately and robustly monitor glucose