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David Elashoff
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2020 – today
- 2024
- [i1]Anna L. Trella, Kelly W. Zhang, Stephanie M. Carpenter, David Elashoff, Zara M. Greer, Inbal Nahum-Shani, Dennis Ruenger, Vivek Shetty, Susan A. Murphy:
Oralytics Reinforcement Learning Algorithm. CoRR abs/2406.13127 (2024) - 2022
- [j8]Douglas A. Murad, Yusuke Tsugawa, David Elashoff, Kevin M. Baldwin, Douglas S. Bell:
Distinct components of alert fatigue in physicians' responses to a noninterruptive clinical decision support alert. J. Am. Medical Informatics Assoc. 30(1): 64-72 (2022) - [j7]Henry W. Zheng, Veena K. Ranganath, Lucas C. Perry, David A. Chetrit, Karla M. Criner, Angela Q. Pham, Richard Seto, Sitaram Vangala, David Elashoff, Alex A. T. Bui:
Evaluation of an automated phenotyping algorithm for rheumatoid arthritis. J. Biomed. Informatics 135: 104214 (2022) - 2021
- [j6]Rujuta B. Wilson, Sitaram Vangala, David Elashoff, Tabitha Safari, Beth A. Smith:
Using Wearable Sensor Technology to Measure Motion Complexity in Infants at High Familial Risk for Autism Spectrum Disorder. Sensors 21(2): 616 (2021) - 2020
- [j5]Arash Naeim, Zhuoer Xie, Liliana Johansen, Neil S. Wenger, David Elashoff, Antonia Petruse, Guita Rahbar:
Using Tablets to Collect Breast Cancer Risk Information in an Underserved Population. Int. J. E Health Medical Commun. 11(4): 90-104 (2020)
2010 – 2019
- 2019
- [j4]Zhenqiu Liu, David Elashoff, Steven T. Piantadosi:
Sparse support vector machines with L0 approximation for ultra-high dimensional omics data. Artif. Intell. Medicine 96: 134-141 (2019) - 2018
- [j3]Karolina Elzbieta Kaczor-Urbanowicz, Yong Kim, Feng Li, Timur Galeev, Robert R. Kitchen, Mark Gerstein, Kikuye Koyano, Sung-Hee Jeong, Xiaoyan Wang, David Elashoff, So Young Kang, Su Mi Kim, Kyoung Kim, Sung Kim, David Chia, Xinshu Xiao, Joel S. Rozowsky, David T. W. Wong:
Novel approaches for bioinformatic analysis of salivary RNA sequencing data for development. Bioinform. 34(1): 1-8 (2018) - 2017
- [j2]Tristan R. Grogan, David Elashoff:
A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures. Commun. Stat. Simul. Comput. 46(9): 7180-7193 (2017) - 2016
- [j1]Mayank A. Jog, Lirong Yan, Emily Kilroy, Kate Krasileva, Kay Jann, Holly LeClair, David Elashoff, Danny J. J. Wang:
Developmental trajectories of cerebral blood flow and oxidative metabolism at baseline and during working memory tasks. NeuroImage 134: 587-596 (2016)
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last updated on 2024-10-07 22:19 CEST by the dblp team
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