| Temporal annotation in the clinical domain WF Styler IV, S Bethard, S Finan, M Palmer, S Pradhan, PC De Groen, ... Transactions of the association for computational linguistics 2, 143-154, 2014 | 213 | 2014 |
| Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review Y Si, J Du, Z Li, X Jiang, T Miller, F Wang, WJ Zheng, K Roberts Journal of biomedical informatics 115, 103671, 2021 | 158 | 2021 |
| Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium J Pathak, KR Bailey, CE Beebe, S Bethard, DS Carrell, PJ Chen, ... Journal of the American Medical Informatics Association 20 (e2), e341-e348, 2013 | 148 | 2013 |
| Negation’s not solved: generalizability versus optimizability in clinical natural language processing S Wu, T Miller, J Masanz, M Coarr, S Halgrim, D Carrell, C Clark PloS one 9 (11), e112774, 2014 | 145 | 2014 |
| Use of natural language processing to extract clinical cancer phenotypes from electronic medical records GK Savova, I Danciu, F Alamudun, T Miller, C Lin, DS Bitterman, ... Cancer research 79 (21), 5463-5470, 2019 | 142 | 2019 |
| A BERT-based universal model for both within-and cross-sentence clinical temporal relation extraction C Lin, T Miller, D Dligach, S Bethard, G Savova Proceedings of the 2nd clinical natural language processing workshop, 65-71, 2019 | 120 | 2019 |
| Neural temporal relation extraction D Dligach, T Miller, C Lin, S Bethard, G Savova Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 118 | 2017 |
| Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records C Lin, EW Karlson, H Canhao, TA Miller, D Dligach, PJ Chen, RNG Perez, ... PloS one 8 (8), e69932, 2013 | 110 | 2013 |
| DeepPhe: a natural language processing system for extracting cancer phenotypes from clinical records GK Savova, E Tseytlin, S Finan, M Castine, T Miller, O Medvedeva, ... Cancer research 77 (21), e115-e118, 2017 | 99 | 2017 |
| Two-stage federated phenotyping and patient representation learning D Liu, D Dligach, T Miller Proceedings of the conference. Association for Computational Linguistics …, 2019 | 98 | 2019 |
| FADL: Federated-autonomous deep learning for distributed electronic health record D Liu, T Miller, R Sayeed, KD Mandl arXiv preprint arXiv:1811.11400, 2018 | 94 | 2018 |
| Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record C Lin, EW Karlson, D Dligach, MP Ramirez, TA Miller, H Mo, NS Braggs, ... Journal of the American Medical Informatics Association 22 (e1), e151-e161, 2015 | 81 | 2015 |
| Broad-coverage parsing using human-like memory constraints W Schuler, S AbdelRahman, T Miller, L Schwartz Computational Linguistics 36 (1), 1-30, 2010 | 79 | 2010 |
| Multilayered temporal modeling for the clinical domain C Lin, D Dligach, TA Miller, S Bethard, GK Savova Journal of the American Medical Informatics Association 23 (2), 387-395, 2016 | 69 | 2016 |
| Does BERT need domain adaptation for clinical negation detection? C Lin, S Bethard, D Dligach, F Sadeque, G Savova, TA Miller Journal of the American Medical Informatics Association 27 (4), 584-591, 2020 | 64 | 2020 |
| Clinical natural language processing for radiation oncology: a review and practical primer DS Bitterman, TA Miller, RH Mak, GK Savova International Journal of Radiation Oncology* Biology* Physics 110 (3), 641-655, 2021 | 57 | 2021 |
| Representations of time expressions for temporal relation extraction with convolutional neural networks C Lin, T Miller, D Dligach, S Bethard, G Savova BioNLP 2017, 322-327, 2017 | 51 | 2017 |
| A system for coreference resolution for the clinical narrative J Zheng, WW Chapman, TA Miller, C Lin, RS Crowley, GK Savova Journal of the American Medical Informatics Association 19 (4), 660-667, 2012 | 48 | 2012 |
| Discovering body site and severity modifiers in clinical texts D Dligach, S Bethard, L Becker, T Miller, GK Savova Journal of the American Medical Informatics Association 21 (3), 448-454, 2014 | 47 | 2014 |
| Simplified neural unsupervised domain adaptation T Miller Proceedings of the conference. Association for Computational Linguistics …, 2019 | 42 | 2019 |
Guergana SavovaProfessor, HarvardVerified email at childrens.harvard.edu
