activity
20152023
most citedEarly hospital mortality prediction using vital signals

64 citations · 109 across the 16 of their papers we have counts for

collaborators

19 papers

cs.AI2023

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…

cs.LG2023

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure

Ankita Agarwal, Tanvi Banerjee, William L. Romine +3

Heart failure is a syndrome which occurs when the heart is not able to pump blood and oxygen to support other organs in the body. Identifying the underlying themes in the diagnosti…

cs.LG2023★ 2 cited

Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing

Ankita Agarwal, Tanvi Banerjee, Joy Gockel +3

An additive manufacturing (AM) process, like laser powder bed fusion, allows for the fabrication of objects by spreading and melting powder in layers until a freeform part shape is…

cs.LG2022

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure

Ankita Agarwal, Krishnaprasad Thirunarayan, William L. Romine +3

Heart failure occurs when the heart is not able to pump blood and oxygen to support other organs in the body as it should. Treatments include medications and sometimes hospitalizat…

cs.CL2022★ 2 cited

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization

Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan +1

While there has been recent progress in abstractive summarization as applied to different domains including news articles, scientific articles, and blog posts, the application of t…

cs.CL2022

Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature

Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan +1

As part of the large number of scientific articles being published every year, the publication rate of biomedical literature has been increasing. Consequently, there has been consi…

q-bio.QM2021★ 1 cited

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…

cs.CL2020

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…

cs.CY2020★ 4 cited

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…

cs.CY2020★ 2 cited

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…

cs.CL2020★ 1 cited

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…

cs.IR2020

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…

cs.IR2020

Measuring Pain in Sickle Cell Disease using Clinical Text

Amanuel Alambo, Ryan Andrew, Sid Gollarahalli +5

Sickle Cell Disease (SCD) is a hereditary disorder of red blood cells in humans. Complications such as pain, stroke, and organ failure occur in SCD as malformed, sickled red blood…

cs.LG2019★ 26 cited

Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures

William Romine, Tanvi Banerjee, Garrett Goodman

We use self-report and electrodermal activity (EDA) wearable sensor data from 77 nights of sleep on six participants to test the efficacy of EDA data for sleep monitoring. We used…

cs.LG2018★ 64 cited

Early hospital mortality prediction using vital signals

Reza Sadeghi, Tanvi Banerjee, William Romine

Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units. As a res…

cs.HC2018★ 5 cited

Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach

Garrett Goodman, Tanvi Banerjee, William Romine +2

As pre-diagnostic technologies are becoming increasingly accessible, using them to improve the quality of care available to dementia patients and their caregivers is of increasing…

cs.CL2017

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi +5

With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitt…

cs.SI2017

What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention

Michele Miller, Dr. Tanvi Banerjee, RoopTeja Muppalla +2

The purpose of this study was to do a dataset distribution analysis, a classification performance analysis, and a topical analysis concerning what people are tweeting about four di…

cs.SI2015★ 2 cited

Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter

Hemant Purohit, Tanvi Banerjee, Andrew Hampton +3

Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration…