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Vignesh Subbian
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2020 – today
- 2024
- [j15]Hamid Ghaderi
, Brandon Foreman, Chandan K. Reddy
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
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
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. J. Biomed. Informatics 144: 104438 (2023) - [j12]Sarah Pungitore
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
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
Selecting venues for AMIA events and conferences: guiding ethical principles. J. Am. Medical Informatics Assoc. 29(8): 1319-1322 (2022) - [j9]Carolyn Petersen
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
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
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
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
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
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
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
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
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
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
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 01:15 CEST by the dblp team
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