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2020 – today
- 2024
[j15]Hamid Ghaderi
, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Comput. Biol. Medicine 180: 108997 (2024)- [i5]Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. CoRR abs/2401.08002 (2024) - 2023
- [j14]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: 104401 (2023) - [j13]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: 104438 (2023) - [j12]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): 313-331 (2023) - [i4]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 abs/2302.13457 (2023) - [i3]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 abs/2303.13024 (2023) - 2022
- [j11]Zaniar Ardalan, Vignesh Subbian:
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. Frontiers Artif. Intell. 5: 780405 (2022) - [j10]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): 1319-1322 (2022) - [j9]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): 3-7 (2022) - [c20]Ashley C. 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 - [c19]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 - [c18]Vignesh Subbian, Melissa D. Clarkson, Carolyn Petersen, Anthony Solomonides, Kenneth W. Goodman:
25 Years of ELSI in Biomedical and Health Informatics. AMIA 2022 - [i2]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 abs/2208.06717 (2022) - [i1]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 abs/2211.06507 (2022) - 2021
- [j8]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 C. 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): 184-189 (2021) - [j7]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: 103685 (2021) - [c17]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 - [c16]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 - [c15]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 - [c14]Geoffrey Glowalla, Vignesh Subbian:
Data Sharing Between Jail and Community Health Systems: Missing Links and Lessons for Re-Entry Success. MedInfo 2021: 47-51 - [c13]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: 380-384 - [c12]Patrick Essay, Jarrod Mosier, Vignesh Subbian:
Phenotyping COVID-19 Patients by Ventilation Therapy: Data Quality Challenges and Cohort Characterization. MIE 2021: 198-202 - 2020
- [j6]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: 104148 (2020) - [j5]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): 1338-1339 (2020)
2010 – 2019
- 2019
- [j4]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): 841-848 (2019) - [j3]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): 842-856 (2019) - [c11]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 - 2018
- [j2]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): 1579-1582 (2018) - [j1]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): 1685-1695 (2018) - [c10]Baran Balkan, Patrick Essay, Vignesh Subbian:
Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study. EMBC 2018: 4073-4076 - 2014
- [c9]Thaddaeus J. Voss, Vignesh Subbian, Fred R. Beyette:
Feasibility of energy harvesting techniques for wearable medical devices. EMBC 2014: 626-629 - [c8]Jeffrey R. Simkins, Vignesh Subbian, Fred R. Beyette:
A programmable point-of-care device for external CSF drainage and monitoring. EMBC 2014: 2161-2164 - [c7]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: 5353-5356 - 2013
- [c6]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: 938-940 - [c5]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: 4167-4170 - [c4]Vignesh Subbian, Fred R. Beyette:
Developing a new advanced microcontrollers course as a part of embedded systems curriculum. FIE 2013: 1462-1464 - [c3]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: 392-395 - [c2]Vignesh Subbian, Philip A. Wilsey, Fred R. Beyette:
Design and development of a robotic system for clinical assessment of motor deficits. MWSCAS 2013: 1275-1277 - 2012
- [c1]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: 996-999
Coauthor Index
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last updated on 2024-09-10 02:09 CEST by the dblp team
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