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2020 – today
- 2024
[j4]Tzu-Chun Wu, Abraham Kim, Ching-Tzu Tsai, Andy Gao, Taran Ghuman, Anne Paul, Alexandra Castillo, Joseph Cheng, Owoicho Adogwa, Laura B. Ngwenya, Brandon Foreman, Danny T. Y. Wu:
A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation. Appl. Clin. Inform. 15(3): 479-488 (2024)- [j3]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
- [j2]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) - [j1]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) - [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
- [c3]Jennifer K. Briggs, J. N. Stroh, Tellen D. Bennett, Soojin Park, David J. Albers, Brandon Foreman:
Optimizing Strategies of Pressure Reactivity Index and Optimal Cerebral Perfusion Pressure Identification for Cerebral Autoregulatory-Guided Clinical Decision Support. AMIA 2022 - [c2]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 - [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
- [c1]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
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