47 citations · 89 across the 8 of their papers we have counts for
8 papers
Prediction of Clinical Complication Onset using Neural Point Processes
Sachini Weerasekara, Sagar Kamarthi, Jacqueline Isaacs
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive models, healthcare providers can…
A Novel Nonlinear Nonparametric Correlation Measurement With A Case Study on Surface Roughness in Finish Turning
Ming Luo, Srinivasan Radhakrishnan, Sagar Kamarthi
Estimating the correlation coefficient has been a daunting work with the increasing complexity of dataset's pattern. One of the problems in manufacturing applications consists of t…
pyKCN: A Python Tool for Bridging Scientific Knowledge
Zhenyuan Lu, Wei Li, Burcu Ozek +3
The study of research trends is pivotal for understanding scientific development on specific topics. Traditionally, this involves keyword analysis within scholarly literature, yet…
Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation
Burcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan +1
Improper pain management can lead to severe physical or mental consequences, including suffering, and an increased risk of opioid dependency. Assessing the presence and severity of…
Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques
Fatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Physiological responses to pain have received increasing attention among researchers for developing an automated pain recognition sensing system. Though less explored, Blood Volume…
Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals
Zhenyuan Lu, Burcu Ozek, Sagar Kamarthi
Pain is a serious worldwide health problem that affects a vast proportion of the population. For efficient pain management and treatment, accurate classification and evaluation of…
Review and Analysis of Pain Research Literature through Keyword Co-occurrence Networks
Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran +1
Pain is a significant public health problem as the number of individuals with a history of pain globally keeps growing. In response, many synergistic research areas have been comin…
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
Ramin Mohammadi, Sarthak Jain, Stephen Agboola +3
Hypertension is a major risk factor for stroke, cardiovascular disease, and end-stage renal disease, and its prevalence is expected to rise dramatically. Effective hypertension man…