Rozalina G. McCoy

According to our database, Rozalina G. McCoy authored at least 8 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Classification Using Deep Transfer Learning on Structured Healthcare Data.

Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2020

Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping.

Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang

Proceedings of the AMIA 2020, 2020

Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis.

Luke A. Carlson, Molly M. Jeffery, Sunyang Fu, Huan He, Rozalina G. McCoy, Yanshan Wang, W. M. Hooten, Jennifer L. St. Sauver, Hongfang Liu, Jungwei Fan

Proceedings of the AMIA 2020, 2020

2019

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Che Ngufor, Holly Van Houten, Brian S. Caffo, Nilay D. Shah, Rozalina G. McCoy

J. Biomed. Informatics, 2019

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data.

Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy

Comput. Biol. Medicine, 2018

2017

Identification of Clinically Meaningful Clusters of Multi-morbidity in a National Cohort of Adults Using Unsupervised Learning.

Che Ngufor, Rozalina G. McCoy, Lixia Yao, Lindsey R. Sangaralingham, Shannon M. Dunlay, Nilay D. Shah

Proceedings of the AMIA 2017, 2017

2014

Clinical Decision Making: A Framework for Predicting Rx Response.

Aarti Sathyanarayana, Jyotishman Pathak, Rozalina G. McCoy, Santiago Romero-Brufau, Maryam Panaziahar, Jaideep Srivastava

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014