Vignesh Subbian

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Comput. Biol. Medicine 180 (2024)
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. CoRR (2024)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. CoRR (2023)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. J. Biomed. Informatics 143 (2023)
Sarah Pungitore, Vignesh Subbian
Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. J. Heal. Informatics Res. 7 (3) (2023)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. CoRR (2023)
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. J. Biomed. Informatics 144 (2023)
Carolyn Petersen, Eta S. Berner, Anthony Cardillo, Kate Fultz Hollis, Kenneth W. Goodman, Ross Koppel, Diane M. Korngiebel, Christoph U. Lehmann, Anthony E. Solomonides, Vignesh Subbian
AMIA's code of professional and ethical conduct 2022. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. CoRR (2022)
Vignesh Subbian, Melissa D. Clarkson, Carolyn Petersen, Anthony Solomonides, Kenneth W. Goodman
25 Years of ELSI in Biomedical and Health Informatics. AMIA (2022)
Christoph U. Lehmann, Kate Fultz Hollis, Carolyn Petersen, Paul R. DeMuro, Vignesh Subbian, Ross Koppel, Anthony E. Solomonides, Eta S. Berner, Eric C. Pan, Julia Adler-Milstein, Kenneth W. Goodman
Selecting venues for AMIA events and conferences: guiding ethical principles. J. Am. Medical Informatics Assoc. 29 (8) (2022)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. AMIA (2022)
Zaniar Ardalan, Vignesh Subbian
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. Frontiers Artif. Intell. 5 (2022)
Ashley Griffin, Lu He, Anthony Sunjaya, Andrew King, Zubin Khan, Brian J. Douthit, Martin Nwadiugwu, Vignesh Subbian, Mark Braunstein, Viet Nguyen, Charles Jaffe, Titus Schleyer
Assessment of Real-World Health Applications on FHIR. AMIA (2022)
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values. CoRR (2022)
Patrick Essay, Jarrod Mosier, Vignesh Subbian
Phenotyping COVID-19 Patients by Ventilation Therapy: Data Quality Challenges and Cohort Characterization. MIE (2021)
Brian S. Alper, Harold P. Lehmann, Joanne Dehnbostel, Andrey Soares, Vignesh Subbian
Fighting COVID-19 with FHIR: Latest Developments from the COVID-19 Knowledge Accelerator (COKA). AMIA (2021)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. AMIA (2021)
Geoffrey Glowalla, Vignesh Subbian
Data Sharing Between Jail and Community Health Systems: Missing Links and Lessons for Re-Entry Success. MedInfo (2021)
Vignesh Subbian, Anthony Solomonides, Melissa D. Clarkson, Vasiliki Nataly Rahimzadeh, Carolyn Petersen, Richard Schreiber, Paul R. DeMuro, Prerna Dua, Kenneth W. Goodman, Bonnie Kaplan, Ross Koppel, Christoph U. Lehmann, Eric Pan, Yalini Senathirajah
Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy. J. Am. Medical Informatics Assoc. 28 (1) (2021)
Hamid Ghaderi, Jeffrey Stowell, Murtaza Akhter, Craig Norquist, Paul E. Pugsley, Vignesh Subbian
Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities. AMIA (2021)
Brian S. Alper, Joanne Dehnbostel, Muhammad Afzal, Vignesh Subbian, Andrey Soares, Ilkka Kunnamo, Khalid Shahin, Robert C. McClure
Making science computable: Developing code systems for statistics, study design, and risk of bias. J. Biomed. Informatics 115 (2021)
Lorenzo Villa Zapata, Vignesh Subbian, Richard D. Boyce, Philip D. Hansten, John R. Horn, Sheila M. Gephart, Andrew Romero, Daniel C. Malone
Overriding Drug-Drug Interaction Alerts in Clinical Decision Support Systems: A Scoping Review. MedInfo (2021)
Brian S. Alper, Joshua E. Richardson, Harold P. Lehmann, Vignesh Subbian
It is time for computable evidence synthesis: The COVID-19 Knowledge Accelerator initiative. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Ahyoung Amy Kim, Samir Rachid Zaim, Vignesh Subbian
Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data. Int. J. Medical Informatics 141 (2020)
Samir Rachid Zaim, Ahyoung Amy Kim, Colleen Kenost, Helen Zhang, Yves A. Lussier, Vignesh Subbian
DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare. AMIA (2019)
Jessica D. Tenenbaum, Krithika Bhuvaneshwar, Jane P. Gagliardi, Kate Fultz Hollis, Peilin Jia, Liang Ma, Radhakrishnan Nagarajan, Gopalkumar Rakesh, Vignesh Subbian, Shyam Visweswaran, Zhongming Zhao, Leon Rozenblit
Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings Bioinform. 20 (3) (2019)
Hannah K. Galvin, Carolyn Petersen, Vignesh Subbian, Anthony Solomonides
Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System. Appl. Clin. Inform. 10 (05) (2019)
Carolyn Petersen, Eta S. Berner, Peter J. Embí, Kate Fultz Hollis, Kenneth W. Goodman, Ross Koppel, Christoph U. Lehmann, Harold P. Lehmann, Sarah A. Maulden, Kyle A. McGregor, Anthony Solomonides, Vignesh Subbian, Enrique Terrazas, Peter Winkelstein
AMIA's code of professional and ethical conduct 2018. J. Am. Medical Informatics Assoc. 25 (11) (2018)
Hannah Schmitz, Carol L. Howe, David G. Armstrong, Vignesh Subbian
Leveraging mobile health applications for biomedical research and citizen science: a scoping review. J. Am. Medical Informatics Assoc. 25 (12) (2018)
Baran Balkan, Patrick Essay, Vignesh Subbian
Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study. EMBC (2018)
Vignesh Subbian, Jason M. Meunier, Joseph J. Korfhagen, Jonathan J. Ratcliff, George J. Shaw, Fred R. Beyette
Quantitative assessment of Post-Concussion Syndrome following mild Traumatic Brain Injury using robotic technology. EMBC (2014)
Thaddaeus J. Voss, Vignesh Subbian, Fred R. Beyette
Feasibility of energy harvesting techniques for wearable medical devices. EMBC (2014)
Jeffrey R. Simkins, Vignesh Subbian, Fred R. Beyette
A programmable point-of-care device for external CSF drainage and monitoring. EMBC (2014)
Vignesh Subbian, Philip A. Wilsey, Fred R. Beyette
Design and development of a robotic system for clinical assessment of motor deficits. MWSCAS (2013)
Zakaria Al-Deneh, Dhanashree Ambekar, Triet Dao, Alexander L. Dziech, Vignesh Subbian, Fred R. Beyette
Experimental validation of a microcontroller-based wireless device to quantify head impacts. MWSCAS (2013)
Dhanashree Ambekar, Zakaria Al-Deneh, Triet Dao, Alexander L. Dziech, Vignesh Subbian, Fred R. Beyette
Development of a point-of-care medical device to measure head impact in contact sports. EMBC (2013)
Vignesh Subbian, Philip A. Wilsey, Fred R. Beyette
Development and evaluation of hardware for Point-of-Care assessment of upper-limb motor performance. EMBC (2013)
Vignesh Subbian, Fred R. Beyette
Developing a new advanced microcontrollers course as a part of embedded systems curriculum. FIE (2013)
Vignesh Subbian, Fred R. Beyette, Philip A. Wilsey
Design and usability of a medical computing system for diagnosis of mild traumatic brain injury. EMBC (2012)