4 citations · 13 across the 10 of their papers we have counts for
12 papers
MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation
Sama Salarian, Yue Zhang, Swati Padhee +1
Synthetic healthcare data generation presents a viable approach to enhance data accessibility and support research by overcoming limitations associated with real-world medical data…
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction
Swati Padhee, Tanvi Banerjee, Daniel M. Abrams +1
Sickle Cell Disease (SCD) is a chronic genetic disorder characterized by recurrent acute painful episodes. Opioids are often used to manage these painful episodes; the extent of th…
Exploring Language Patterns in a Medical Licensure Exam Item Bank
Swati Padhee, Kimberly Swygert, Ian Micir
This study examines the use of natural language processing (NLP) models to evaluate whether language patterns used by item writers in a medical licensure exam might contain evidenc…
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples
Gary K. Nave, Swati Padhee, Amanuel Alambo +3
Irregularly sampled time series data are common in a variety of fields. Many typical methods for drawing insight from data fail in this case. Here we attempt to generalize methods…
Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Swati Padhee, Anurag Illendula, Megan Sadler +4
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clini…
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits
Swati Padhee, Amanuel Alambo, Tanvi Banerjee +4
Pain in sickle cell disease (SCD) is often associated with increased morbidity, mortality, and high healthcare costs. The standard method for predicting the absence, presence, and…
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
Amanuel Alambo, Swati Padhee, Tanvi Banerjee +1
COVID-19 pandemic has adversely and disproportionately impacted people suffering from mental health issues and substance use problems. This has been exacerbated by social isolation…
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Amanuel Alambo, Cori Lohstroh, Erik Madaus +5
Recent advances in natural language processing have enabled automation of a wide range of tasks, including machine translation, named entity recognition, and sentiment analysis. Au…
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
Ankita Agarwal, Preetham Salehundam, Swati Padhee +2
The recent global outbreak of the coronavirus disease (COVID-19) has spread to all corners of the globe. The international travel ban, panic buying, and the need for self-quarantin…
Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
Swati Padhee, Tanay Kumar Saha, Joel Tetreault +1
Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis m…
Knowledge Graphs and Knowledge Networks: The Story in Brief
Amit Sheth, Swati Padhee, Amelie Gyrard
Knowledge Graphs (KGs) represent real-world noisy raw information in a structured form, capturing relationships between entities. However, for dynamic real-world applications such…
Linked Open Data Validity -- A Technical Report from ISWS 2018
Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam +68
Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially a…