Search Results for author: Swati Padhee

Found 10 papers, 2 papers with code

Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction

no code implementations9 Oct 2023 Swati Padhee, Tanvi Banerjee, Daniel M. Abrams, Nirmish Shah

Opioids are often used to manage these painful episodes; the extent of their use in managing pain in this disorder is an issue of debate.

Clustering Decision Making +3

Exploring Language Patterns in a Medical Licensure Exam Item Bank

no code implementations20 Nov 2021 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 evidence of biased or stereotypical language.

Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits

no code implementations24 Nov 2020 Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah

Our experimental results demonstrate that ML techniques can provide an objective and quantitative evaluation of pain intensity levels for all three types of hospital visits.

COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study

no code implementations20 Nov 2020 Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan

This has been exacerbated by social isolation during the pandemic and the social stigma associated with mental health and substance use disorders, making people reluctant to share their struggles and seek help.

Predicting Early Indicators of Cognitive Decline from Verbal Utterances

no code implementations19 Nov 2020 Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine

Our experiments show that a combination of contextual and psycholinguistic features extracted by a Support Vector Machine improved distinguishing the verbal utterances of elderly controls, people with MCI, possible AD, and probable AD.

Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles

no code implementations3 Nov 2020 Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael Raymer

Recent advances in natural language processing have enabled automation of a wide range of tasks, including machine translation, named entity recognition, and sentiment analysis.

Abstractive Text Summarization Document Summarization +8

Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic

1 code implementation31 Oct 2020 Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee

In this study, we constructed a system to identify the relevant tweets related to the COVID-19 pandemic throughout January 1st, 2020 to April 30th, 2020, and explored topic modeling to identify the most discussed topics and themes during this period in our data set.

Clustering of Social Media Messages for Humanitarian Aid Response during Crisis

1 code implementation23 Jul 2020 Swati Padhee, Tanay Kumar Saha, Joel Tetreault, Alejandro Jaimes

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events.

Clustering Humanitarian +2

Knowledge Graphs and Knowledge Networks: The Story in Brief

no code implementations7 Mar 2020 Amit Sheth, Swati Padhee, Amelie Gyrard

Knowledge Graphs (KGs) represent real-world noisy raw information in a structured form, capturing relationships between entities.

Knowledge Graphs Link Prediction +3

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