CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
Background Automated summarization of scientific literature and patient records is essential
for enhancing clinical decision-making and facilitating precision medicine. Most existing …
for enhancing clinical decision-making and facilitating precision medicine. Most existing …
Designing a low-cost adaptable and personalized remote patient monitoring system
Remote patient monitoring systems (RMS) have gained increasing popularity in recent
years. RMS have great potential to improve medical services by providing more affordable …
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
This study establishes interoperability among electronic medical records from 800 clinical
sites and uses machine learning for best practice discovery. A novel extraction-mapping …
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 …
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 …
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
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 …
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 …
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.
1Center for Operations Research in Medicine and HealthCare, USA 2H. Milton Stewart
School of Industrial and Systems Engineering, USA 3School of Biological Sciences, Georgia …
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 …
“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
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 …
Pathological conditions that impair normal microvascular perfusion can result in tissue …