64 citations · 97 across the 7 of their papers we have counts for
9 papers
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…
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…
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…
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…
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj +5
With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles…
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…
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…
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…
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…