Fan Yang

Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study

Amanda Johnson, Fan Yang, Siddharth Gollarahalli et al. · JMIR mhealth and uhealth · 2019 · 57 citations · Full text

Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use

William L. Romine, Noah L. Schroeder, Josephine Graft et al. · Sensors · 2020 · 56 citations · Full text

Improving pain management in patients with sickle cell disease from physiological measures using machine learning techniques

Fan Yang, Tanvi Banerjee, Kalindi Narine et al. · Smart Health · 2018 · 36 citations · Full text

Sickle Cell Disease, Machine Learning, Health Sciences +11

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease

Mark J. Panaggio, Daniel M. Abrams, Fan Yang et al. · PLoS Computational Biology · 2021 · 13 citations · Full text

Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data

Fan Yang, Tanvi Banerjee, Mark J. Panaggio et al. · 2019 · 11 citations · Full text

Pain Therapy, Engineering, Machine Learning +23