Search Results - "Kalgotra, Pankush"

Examining multimorbidity differences across racial groups: a network analysis of electronic medical records by Kalgotra, Pankush, Sharda, Ramesh, Croff, Julie M.

“…Health disparities across ethnic or racial groups are typically examined through single behavior at a time. The syndemics and multimorbidity health disparities…”
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Growth in the development of health and fitness mobile apps amid COVID-19 pandemic by Kalgotra, Pankush, Raja, Uzma, Sharda, Ramesh

“…Objectives Technology in the form of mobile apps has played an essential role in facilitating, tracking, and maintaining health and fitness activities during…”
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Impact of age, sex, race, and regionality on major clinical outcomes of COVID-19 in hospitalized patients in the United States by Sundaram, Suneha S, Melquist, Stephanie, Kalgotra, Pankush, Srinivasan, Sachin, Parasa, Sravanthi, Desai, Madhav, Sharma, Prateek

“…The COVID-19 pandemic has affected all people across the globe. Regional and community differences in timing and severity of surges throughout the pandemic can…”
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Factors Associated With Poor Outcomes Among Patients With SARS-CoV-2 Coronavirus Infection and Gastrointestinal Symptoms by Patil, Nikita, Kalgotra, Pankush, Sundaram, Suneha, Melquist, Stephanie, Parasa, Sravanthi, Desai, Madhav, Sharma, Prateek

“…Gastrointestinal (GI) symptoms are present in 20% of patients with SARS-CoV-2 coronavirus infection (COVID-19). We studied the association of GI symptoms (in…”
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When will I get out of the Hospital? Modeling Length of Stay using Comorbidity Networks by Kalgotra, Pankush, Sharda, Ramesh

“…A reliable and accurate estimate of the expected hospital length of stay (LOS) of a patient is important to patients, medical providers, and insurance…”
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Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19 by Kalgotra, Pankush, Gupta, Ashish, Sharda, Ramesh

“…•Proposed a pandemic information support lifecycle (PISL).•Five information support phases: awareness, preventive care, active information, confidence building…”
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BIARAM: A process for analyzing correlated brain regions using association rule mining by Kalgotra, Pankush, Sharda, Ramesh

“…•Proposes Association Rule Mining (ARM) as a method for analyzing neural images.•ARM generates insights from correlated brain regions.•Convert brain waves into…”
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Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer by Kalgotra, Pankush, Sharda, Ramesh, Parasa, Sravanthi

“…Colorectal cancer (CRC) is the third most common cancer in terms of the number of cases and deaths in men and women in the USA. According to the Centers for…”
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753 INTERPRETABLE MACHINE LEARNING PREDICTIVE MODEL TO UNDERSTAND RISK FACTORS FOR EARLY ONSET COLORECTAL CANCER by Kalgotra, Pankush, Sharda, Ramesh, Caruana, Rich, Parasa, Sravanthi

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Which similarity measure to use in network analysis: Impact of sample size on phi correlation coefficient and Ochiai index by Kalgotra, Pankush, Sharda, Ramesh, Luse, Andy

“…•Studied the impact of sample size on an implicit network inferred using Phi Correlation coefficient and Ochiai coefficient.•Illustrated using a network of…”
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Examining health disparities by gender: A multimorbidity network analysis of electronic medical record by Kalgotra, Pankush, Sharda, Ramesh, Croff, Julie M.

“…•Studied health disparities by gender through multimorbidity lens as it can provide greater insights into medical/public health research.•Applied a network…”
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A developer-oriented recommender model for the app store: A predictive network analytics approach by Davazdahemami, Behrooz, Kalgotra, Pankush, Zolbanin, Hamed M., Delen, Dursun

“…While thousands of new mobile applications (i.e., apps) are being added to the major app markets daily, only a small portion of them attain their financial…”
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Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing by Liu, Sijun, Wei, Chunhao (Victor), Kalgotra, Pankush, Cobanoglu, Cihan

“…We propose an online impression-management conceptual model and present a two-step approach to unfold the importance of multiple attributes on a restaurant…”
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Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study by Kalgotra, Pankush, Sharda, Ramesh, McHaney, Roger

“…As we become more and more connected, the number of technology interruptions are increasing as well. The mechanisms by which a technology interruption takes…”
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Sa1053: OUTCOMES OF HOSPITALIZED COVID-19 PATIENTS WITH INFLAMMATORY BOWEL DISEASE: A NATIONAL DATABASE STUDY by Melquist, Stephanie J., Sundaram, Suneha, Kalgotra, Pankush, Srinivasan, Sachin, Parasa, Sravanthi, Chela, Harleen K., Sharma, Prateek, Desai, Madhav

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Su1071: PREVALENCE OF GASTROINTESTINAL SYMPTOMS AND RELATIONSHIP WITH POOR OUTCOMES AMONG PATIENTS WITH COVID-19 PRESENTING TO THE HOSPITAL: A NATIONAL DATABASE STUDY by Patil, Nikita, Melquist, Stephanie J., Sundaram, Suneha, Kalgotra, Pankush, Parasa, Sravanthi, Desai, Madhav, Srinivasan, Sachin, Sharma, Prateek

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Sensor analytics for interpretation of EKG signals by Kalgotra, Pankush, Sharda, Ramesh, Hammer, Bryan, Albert, David E.

“…•Describes a predictive analytics example of interpretation of sensor data in healthcare.•Created multi-label classification model to classify five heart…”
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From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks by Davazdahemami, Behrooz, Hammer, Bryan, Kalgotra, Pankush, Luse, Andy

“…Today, people spend many hours each day on social networking sites where they share a great deal of information with others. Prior research has shown that,…”
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Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study by Kalgotra, Pankush, Sharda, Ramesh, McHaney, Roger

“…This paper explores how technologies can interrupt concentration, focus and attention of knowledge workers. The mechanisms by which an interruption takes…”
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Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course by Asamoah, Daniel Adomako, Sharda, Ramesh, Hassan Zadeh, Amir, Kalgotra, Pankush

“…ABSTRACT In this article, we present an experiential perspective on how a big data analytics course was designed and delivered to students at a major…”
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