CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text

EK Lee, K Uppal - BMC medical informatics and decision making, 2020 - Springer
Background Automated summarization of scientific literature and patient records is essential
for enhancing clinical decision-making and facilitating precision medicine. Most existing …

Designing a low-cost adaptable and personalized remote patient monitoring system

EK Lee, Y Wang, RA Davis… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Remote patient monitoring systems (RMS) have gained increasing popularity in recent
years. RMS have great potential to improve medical services by providing more affordable …

Multi-site best practice discovery: from free text to standardized concepts to clinical decisions

EK Lee, Z Li, Y Wang, MS Hagen… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
This study establishes interoperability among electronic medical records from 800 clinical
sites and uses machine learning for best practice discovery. A novel extraction-mapping …

Free text to standardized concepts to clinical decisions

EK Lee, BM Egan - Encyclopedia of Data Science and Machine …, 2023 - igi-global.com
This article discusses the establishment of interoperability among electronic medical records
from 800 clinical sites and the use of machine learning for best practice discovery. A novel …

[PDF][PDF] A Multi-stage Multi-group Classification Model: Applications to Knowledge Discovery for Evidence-based Patient-centered Care.

EK Lee, BM Egan - KDIR, 2022 - pdfs.semanticscholar.org
We present a multi-stage, multi-group classification framework that incorporates discriminant
analysis via mixed integer programming (DAMIP) with an exact combinatorial branch-and …

Handling Imbalanced and Poorly Separated Data: a Multi-Stage Multi-Group Machine Learning Approach

EK Lee, F Yuan, BJ Mann… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Poorly separated data and imbalanced data present major challenges to classifiers which
often result in lower accuracy and reliability in making predictions. In this paper, we …

[PDF][PDF] Prediction of responses to intra-articular injections of Hyaluronic acid for knee osteoarthritis

EK Lee, BJ Mann, M DeMaio - Preprint, 2023 - scitepress.org
Osteoarthritis (OA) is a degenerative joint disease, with the knee the most frequently affected
joint. Fifty percent of knee OA patients eventually undergo surgical procedures such as knee …

[PDF][PDF] An Efficient, Robust, and Customizable Information Extraction and Pre-processing Pipeline for Electronic Health Records.

EK Lee, Y Wang, Y He, BM Egan - KDIR, 2019 - scitepress.org
1Center for Operations Research in Medicine and HealthCare, USA 2H. Milton Stewart
School of Industrial and Systems Engineering, USA 3School of Biological Sciences, Georgia …

Collaborative Systems Analytics to Advance Clinical Care: Application to Congenital Cardiac Patients

EK Lee - Healthcare Policy, Innovation and Digitalization …, 2023 - Springer
This chapter reports the operations research advances in the Edelman finalist work on
“Collaborative Systems Analytics: Establishing Effective Clinical Practice Guidelines for …

Using pattern recognition and discriminant analysis of functional perfusion data to create “angioprints” for normal and perturbed angiogenic microvascular networks

EK Lee, ZS Galis - The Vasculome, 2022 - Elsevier
A major function of the vasculature is to provide oxygen and nutrients to all body's tissues.
Pathological conditions that impair normal microvascular perfusion can result in tissue …