Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative TD Bennett, RA Moffitt, JG Hajagos, B Amor, A Anand, MM Bissell, ... JAMA network open 4 (7), e2116901:1-15, 2021 | 244* | 2021 |
Few-shot and zero-shot multi-label learning for structured label spaces A Rios, R Kavuluru Proc. of Empirical Methods in Natural Language Processing (EMNLP), 3132-3142, 2018 | 216 | 2018 |
Characterizing long COVID: deep phenotype of a complex condition RR Deer, MA Rock, N Vasilevsky, L Carmody, H Rando, AJ Anzalone, ... EBioMedicine 74, 103722: 1-9, 2021 | 176 | 2021 |
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records R Kavuluru, A Rios, Y Lu Artificial Intelligence in Medicine 65 (2), 155-166, 2015 | 169 | 2015 |
Knowledge-aware assessment of severity of suicide risk for early intervention M Gaur, A Alambo, JP Sain, U Kursuncu, K Thirunarayan, R Kavuluru, ... Proceedings of the ACM World Wide Web Conference (WWW), 514-525, 2019 | 166 | 2019 |
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles A Rios, R Kavuluru Proceedings of the 6th ACM BCB Conference, 258-267, 2015 | 158 | 2015 |
On the popularity of the USB flash drive-shaped electronic cigarette Juul R Kavuluru, S Han, EJ Hahn Tobacco Control 28 (1), 110-112, 2019 | 156 | 2019 |
Extracting chemical-protein relations with ensembles of SVM and deep learning models Y Peng, A Rios, R Kavuluru, Z Lu Database: The Journal of Biological Databases and Curation, 1-9, 2018 | 144* | 2018 |
Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks T Tran, R Kavuluru Journal of Biomedical Informatics 75, S138-S148, 2017 | 103 | 2017 |
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ... Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018 | 93 | 2018 |
Context-driven automatic subgraph creation for literature-based discovery D Cameron, R Kavuluru, TC Rindflesch, AP Sheth, K Thirunarayan, ... Journal of Biomedical Informatics 54, 141-157, 2015 | 93 | 2015 |
Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence CG Walsh, B Chaudhry, P Dua, KW Goodman, B Kaplan, R Kavuluru, ... JAMIA Open 3 (1), 9-15, 2020 | 88 | 2020 |
Risk and outcome of breakthrough COVID-19 infections in vaccinated patients with cancer: real-world evidence from the National COVID Cohort Collaborative Q Song, B Bates, YR Shao, FC Hsu, F Liu, V Madhira, AK Mitra, ... Journal of Clinical Oncology, JCO. 21.02419: 1-14, 2022 | 87 | 2022 |
Prevalence and reasons for Juul use among college students M Ickes, JW Hester, AT Wiggins, MK Rayens, EJ Hahn, R Kavuluru Journal of American College Health 68 (5), 455-459, 2020 | 86 | 2020 |
Extracting drug-drug interactions with word and character-level recurrent neural networks R Kavuluru, A Rios, T Tran 5th IEEE International Conference on Healthcare Informatics (ICHI), 5-12, 2017 | 76 | 2017 |
Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations G Bakal, P Talari, EV Kakani, R Kavuluru Journal of Biomedical Informatics 82, 189-199, 2018 | 71 | 2018 |
Classification of helpful comments on online suicide watch forums R Kavuluru, M Ramos-Morales, T Holaday, AG Williams, L Haye, J Cerel Proceedings of the 7th ACM BCB Conference, 32-40, 2016 | 61 | 2016 |
RASP: Efficient multidimensional range query on attack-resilient encrypted databases K Chen, R Kavuluru, S Guo Proceedings of 1st ACM CODASPY Conference, 249-260, 2011 | 60 | 2011 |
Toward automated e-cigarette surveillance: spotting e-cigarette proponents on Twitter R Kavuluru, AKM Sabbir Journal of Biomedical Informatics 61, 19-26, 2016 | 54 | 2016 |
Neural metric learning for fast end-to-end relation extraction T Tran, R Kavuluru arXiv preprint arXiv:1905.07458, 2019 | 51 | 2019 |