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ORCIDÖzlem Uzuner
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- affiliation: State University of New York at Albany, NY, USA
- affiliation: MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
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2020 – today
- 2024
[j66]Yanjun Gao
, Diwakar Mahajan, Özlem Uzuner, Meliha Yetisgen:
Clinical natural language processing for secondary uses. J. Biomed. Informatics 150: 104596 (2024)- [c66]Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran, Spencer Lewis, Aashka Damani, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. LREC/COLING 2024: 1280-1292 - [c65]Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen:
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. LREC/COLING 2024: 7045-7056 - [i28]Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran, Amrita Ganguly, Özlem Uzuner:
MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection. CoRR abs/2403.14989 (2024) - [i27]Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran, Spencer Lewis, Aashka Damani, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. CoRR abs/2403.18975 (2024) - [i26]Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen:
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. CoRR abs/2404.00826 (2024) - [i25]Sungsoo Ray Hong, Marcos Zampieri, Brittany N. Hand, Vivian Motti, Dongjun Chung, Özlem Uzuner:
Collaborative Design for Job-Seekers with Autism: A Conceptual Framework for Future Research. CoRR abs/2405.06078 (2024) - 2023
- [j65]Kevin Lybarger, Oliver J. Bear Don't Walk IV, Meliha Yetisgen, Özlem Uzuner:
Advancements in extracting social determinants of health information from narrative text. J. Am. Medical Informatics Assoc. 30(8): 1363-1366 (2023) - [j64]Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
The 2022 n2c2/UW shared task on extracting social determinants of health. J. Am. Medical Informatics Assoc. 30(8): 1367-1378 (2023) - [j63]Kevin Lybarger, Nicholas J. Dobbins, Ritche Long, Angad P. Singh, Patrick Wedgeworth, Özlem Uzuner, Meliha Yetisgen:
Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. J. Am. Medical Informatics Assoc. 30(8): 1389-1397 (2023) - [j62]Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen:
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. J. Am. Medical Informatics Assoc. 30(12): 1954-1964 (2023) - [j61]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139: 104302 (2023) - [j60]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023) - [j59]Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Özlem Uzuner:
Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes. J. Biomed. Informatics 144: 104432 (2023) - [c64]Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen:
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. ClinicalNLP@ACL 2023: 385-393 - [c63]Fardin Ahsan Sakib, Ahnaf Atef Choudhury, Özlem Uzuner:
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts. CLEF (Working Notes) 2023: 773-781 - [c62]Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger, Özlem Uzuner:
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. SemEval@ACL 2023: 2143-2152 - [i24]Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health. CoRR abs/2301.05571 (2023) - [i23]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR abs/2303.08038 (2023) - [i22]Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen:
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. CoRR abs/2304.06203 (2023) - [i21]Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger, Özlem Uzuner:
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. CoRR abs/2304.13875 (2023) - [i20]Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen:
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. CoRR abs/2306.07170 (2023) - [i19]Fardin Ahsan Sakib, Ahnaf Atef Choudhury, Özlem Uzuner:
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts. CoRR abs/2310.10941 (2023) - 2022
- [j58]Graciela Gonzalez-Hernandez, Martin Krallinger, Monica Muñoz, Raul Rodriguez-Esteban, Özlem Uzuner, Lynette Hirschman:
Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers. Database J. Biol. Databases Curation 2022(2022) (2022) - [j57]Kahyun Lee, Mehmet Kayaalp, Sam Henry, Özlem Uzuner:
A Context-Enhanced De-identification System. ACM Trans. Comput. Heal. 3(1): 6:1-6:14 (2022) - [j56]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29(10): 1797-1806 (2022) - [j55]Meliha Yetisgen, Özlem Uzuner, Yanjun Gao, Diwakar Mahajan:
Call for papers: Special issue on clinical natural language processing for secondary use applications. J. Biomed. Informatics 133: 104152 (2022) - [j54]Fatemah Husain, Özlem Uzuner:
Investigating the Effect of Preprocessing Arabic Text on Offensive Language and Hate Speech Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 73:1-73:20 (2022) - [c61]Kevin Lybarger, Namu Park, Sitong Zhou, Aashka Damani, Alison Brennan, Jagjeet Gill, Nianiella Dorvall, Vy Huynh, Spencer Lewis, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations. AMIA 2022 - [c60]Fatemah Husain, Özlem Uzuner:
Transfer Learning Across Arabic Dialects for Offensive Language Detection. IALP 2022: 196-205 - [i18]Fatemah Husain, Özlem Uzuner:
Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model. CoRR abs/2203.03542 (2022) - [i17]Maryam Heidari, James H. Jones Jr., Özlem Uzuner:
Online User Profiling to Detect Social Bots on Twitter. CoRR abs/2203.05966 (2022) - [i16]Nicholas J. Dobbins, Tony Mullen, Özlem Uzuner, Meliha Yetisgen:
The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria. CoRR abs/2207.13757 (2022) - [i15]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. CoRR abs/2208.08417 (2022) - 2021
- [j53]Andriy Mulyar, Özlem Uzuner, Bridget T. McInnes:
MT-clinical BERT: scaling clinical information extraction with multitask learning. J. Am. Medical Informatics Assoc. 28(10): 2108-2115 (2021) - [j52]Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner:
Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. J. Am. Medical Informatics Assoc. 28(11): 2546 (2021) - [j51]Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner:
Transferability of neural network clinical deidentification systems. J. Am. Medical Informatics Assoc. 28(12): 2661-2669 (2021) - [j50]Prakruthi Karuna, Hemant Purohit, Sushil Jajodia, Rajesh Ganesan, Özlem Uzuner:
Fake Document Generation for Cyber Deception by Manipulating Text Comprehensibility. IEEE Syst. J. 15(1): 835-845 (2021) - [j49]Fatemah Husain, Özlem Uzuner:
A Survey of Offensive Language Detection for the Arabic Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 12:1-12:44 (2021) - [c59]Samira Zad, Maryam Heidari, James H. Jones Jr., Özlem Uzuner:
Emotion Detection of Textual Data: An Interdisciplinary Survey. AIIoT 2021: 255-261 - [c58]Samira Zad, Maryam Heidari, James H. Jones, Özlem Uzuner:
A Survey on Concept-Level Sentiment Analysis Techniques of Textual Data. AIIoT 2021: 285-291 - [c57]Wilson Lau, David Wayne, Spencer Lewis, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A New Corpus for Clinical Findings in Radiology Reports. AMIA 2021 - [c56]Jooyeon Lee, Huong Dang, Özlem Uzuner, Sam Henry:
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization. BioNLP@NAACL-HLT 2021: 320-327 - [c55]Zahra Rajabi, Özlem Uzuner, Amarda Shehu:
Detecting Scarce Emotions Using BERT and Hyperparameter Optimization. ICANN (5) 2021: 383-395 - [c54]Yasas Senarath, Jennifer L. Chan, Hemant Purohit, Özlem Uzuner:
Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters. ISCRAM 2021: 97-105 - [c53]Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Özlem Uzuner, Sushil Jajodia:
Scalable Graph Synthesis with Adj and 1 - Adj. SDM 2021: 307-315 - [c52]Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard:
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. SemEval@ACL/IJCNLP 2021: 348-356 - [c51]Masoud Malekzadeh, Parisa Hajibabaee, Maryam Heidari, Samira Zad, Özlem Uzuner, James H. Jones:
Review of Graph Neural Network in Text Classification. UEMCON 2021: 84-91 - [c50]Maryam Heidari, Samira Zad, Parisa Hajibabaee, Masoud Malekzadeh, SeyyedPooya HekmatiAthar, Özlem Uzuner, James H. Jones:
BERT Model for Fake News Detection Based on Social Bot Activities in the COVID-19 Pandemic. UEMCON 2021: 103-109 - [c49]Fatemah Husain, Özlem Uzuner:
Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic. WANLP 2021: 364-369 - [i14]Fatemah Husain, Özlem Uzuner:
Exploratory Arabic Offensive Language Dataset Analysis. CoRR abs/2101.11434 (2021) - [i13]Fatemah Husain, Özlem Uzuner:
Transfer Learning Approach for Arabic Offensive Language Detection System - BERT-Based Model. CoRR abs/2102.05708 (2021) - [i12]Kahyun Lee, Mehmet Kayaalp, Sam Henry, Özlem Uzuner:
A Context-Enhanced De-identification System. CoRR abs/2102.08513 (2021) - [i11]Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner:
Transferability of Neural Network-based De-identification Systems. CoRR abs/2102.08517 (2021) - [i10]Paul Barry, Sam Henry, Meliha Yetisgen, Bridget T. McInnes, Özlem Uzuner:
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. CoRR abs/2102.11031 (2021) - [i9]Nicholas J. Dobbins, David Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetisgen:
Performance of Automatic De-identification Across Different Note Types. CoRR abs/2102.11032 (2021) - [i8]Kevin Lybarger, Aashka Damani, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model. CoRR abs/2108.09211 (2021) - [i7]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR abs/2112.05780 (2021) - 2020
- [j48]Irena Spasic, Özlem Uzuner, Li Zhou:
Emerging clinical applications of text analytics. Int. J. Medical Informatics 134 (2020) - [j47]Özlem Uzuner, Amber Stubbs, Leslie Lenert:
Advancing the state of the art in automatic extraction of adverse drug events from narratives. J. Am. Medical Informatics Assoc. 27(1): 1-2 (2020) - [j46]Sam Henry, Kevin Buchan, Michele Filannino, Amber Stubbs, Özlem Uzuner:
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records. J. Am. Medical Informatics Assoc. 27(1): 3-12 (2020) - [j45]Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner:
The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. J. Am. Medical Informatics Assoc. 27(10): 1529-1537 (2020) - [j44]Corey Sutphin, Kahyun Lee, Antonio Jimeno-Yepes, Özlem Uzuner, Bridget T. McInnes:
Adverse drug event detection using reason assignments in FDA drug labels. J. Biomed. Informatics 110: 103552 (2020) - [c48]Paul Barry, Sam Henry, Meliha Yetisgen, Bridget T. McInnes, Özlem Uzuner:
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. AMIA 2020 - [c47]Kahyun Lee, Sam Henry, Özlem Uzuner:
Medical Concept Normalization via Description Prediction. AMIA 2020 - [c46]Kevin Lybarger, Elizabeth Chang, Kylie Kerker, Jolie Shen, Erica Qiao, Özlem Uzuner, Mari Ostendorf, Meliha Yetisgen:
A Novel Corpus With Detailed Annotations of Social Determinants of Health. AMIA 2020 - [c45]Maryam Heidari, James H. Jones, Özlem Uzuner:
Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter. ICDM (Workshops) 2020: 480-487 - [c44]Zahra Rajabi, Amarda Shehu, Özlem Uzuner:
A Multi-channel BiLSTM-CNN Model for Multilabel Emotion Classification of Informal Text. ICSC 2020: 303-306 - [c43]Fatemah Husain, Jooyeon Lee, Sam Henry, Özlem Uzuner:
SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection. SemEval@COLING 2020: 2133-2139 - [c42]Huong Dang, Kahyun Lee, Sam Henry, Özlem Uzuner:
Ensemble BERT for Classifying Medication-mentioning Tweets. SMM4H@COLING 2020: 37-41 - [i6]Fatemah Husain, Jooyeon Lee, Samuel Henry, Özlem Uzuner:
SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection. CoRR abs/2007.13974 (2020)
2010 – 2019
- 2019
- [j43]Amber Stubbs, Özlem Uzuner:
New approaches to cohort selection. J. Am. Medical Informatics Assoc. 26(11): 1161-1162 (2019) - [j42]Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, Özlem Uzuner:
Cohort selection for clinical trials: n2c2 2018 shared task track 1. J. Am. Medical Informatics Assoc. 26(11): 1163-1171 (2019) - [j41]Yanshan Wang, Hua Xu, Özlem Uzuner:
Editorial: The second international workshop on health natural language processing (HealthNLP 2019). BMC Medical Informatics Decis. Mak. 19-S(5): 1 (2019) - [c41]Kevin Lybarger, Mari Ostendorf, Özlem Uzuner, Meliha Yetisgen:
Automatic Identification of Social Determinants of Health from Clinical Records. AMIA 2019 - [c40]Jessica D. Tenenbaum, Ramakanth Kavuluru, Thomas H. McCoy, Özlem Uzuner, Sumithra Velupillai:
Clinical Text Mining in Mental Health. AMIA 2019 - [c39]Kahyun Lee, Michele Filannino, Özlem Uzuner:
An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification. MedInfo 2019: 218-222 - [c38]Carson Tao, Kahyun Lee, Michele Filannino, Özlem Uzuner:
An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction. MedInfo 2019: 388-392 - [c37]Paul Barry, Özlem Uzuner:
Deep Learning for Identification of Adverse Effect Mentions In Twitter Data. SMM4H@ACL 2019: 99-101 - [i5]Wilson Lau, Thomas H. Payne, Özlem Uzuner, Meliha Yetisgen:
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset. CoRR abs/1905.05877 (2019) - 2018
- [j40]Yuan Luo, Yu Cheng, Özlem Uzuner, Peter Szolovits, Justin Starren:
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes. J. Am. Medical Informatics Assoc. 25(1): 93-98 (2018) - [j39]Michele Filannino, Amber Stubbs, Özlem Uzuner:
Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S: S62-S70]. J. Biomed. Informatics 85: 204 (2018) - [c36]Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with clinical trials. AMIA 2018 - [c35]Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with relevant treatments. AMIA 2018 - [c34]Carson Tao, Michele Filannino, Özlem Uzuner:
FABLE: A Semi-Supervised Prescription Information Extraction System. AMIA 2018 - [c33]Carson Tao, Michele Filannino, Özlem Uzuner:
Extracting ADRs from Drug Labels using Bi-LSTM and CRFs. AMIA 2018 - 2017
- [j38]Yuan Luo, Özlem Uzuner, Peter Szolovits:
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations. Briefings Bioinform. 18(1): 160-178 (2017) - [j37]Yuan Luo, Özlem Uzuner, Peter Szolovits:
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations. Briefings Bioinform. 18(4): 722 (2017) - [j36]Franck Dernoncourt, Ji Young Lee, Özlem Uzuner, Peter Szolovits:
De-identification of patient notes with recurrent neural networks. J. Am. Medical Informatics Assoc. 24(3): 596-606 (2017) - [j35]Kevin Buchan, Michele Filannino, Özlem Uzuner:
Automatic prediction of coronary artery disease from clinical narratives. J. Biomed. Informatics 72: 23-32 (2017) - [j34]Carson Tao, Michele Filannino, Özlem Uzuner:
Prescription extraction using CRFs and word embeddings. J. Biomed. Informatics 72: 60-66 (2017) - [c32]Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 - [i4]Carson Tao, Kahyun Lee, Michele Filannino, Kevin Buchan, Kathy Lee, Tilak Raj Arora, Joey Liu, Oladimeji Farri, Özlem Uzuner:
Extracting and Normalizing Adverse Drug Reactions from Drug Labels. TAC 2017 - 2016
- [j33]Loni Hagen, Teresa M. Harrison, Özlem Uzuner, William May, Tim Fake, Satya Katragadda:
E-petition popularity: Do linguistic and semantic factors matter? Gov. Inf. Q. 33(4): 783-795 (2016) - [j32]Sunita Goel, Özlem Uzuner:
Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports. Intell. Syst. Account. Finance Manag. 23(3): 215-239 (2016) - [c31]Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits:
Feature-Augmented Neural Networks for Patient Note De-identification. ClinicalNLP@COLING 2016 2016: 17-22 - [c30]Stéphane M. Meystre, Hongfang Liu, Rong Xu, Sivaram Arabandi, Kavishwar B. Wagholikar, Jon D. Patrick, Guergana K. Savova, Chunhua Weng, Pierre Zweigenbaum, Dina Demner-Fushman, Özlem Uzuner, Hua Xu:
Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'. AMIA 2016 - [i3]Franck Dernoncourt, Ji Young Lee, Özlem Uzuner, Peter Szolovits:
De-identification of Patient Notes with Recurrent Neural Networks. CoRR abs/1606.03475 (2016) - [i2]Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits:
Feature-Augmented Neural Networks for Patient Note De-identification. CoRR abs/1610.09704 (2016) - 2015
- [j31]Weiyi Sun, Anna Rumshisky, Özlem Uzuner:
Normalization of relative and incomplete temporal expressions in clinical narratives. J. Am. Medical Informatics Assoc. 22(5): 1001-1008 (2015) - [j30]Yuan Luo, Yu Xin, Ephraim P. Hochberg, Rohit Joshi, Özlem Uzuner, Peter Szolovits:
Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text. J. Am. Medical Informatics Assoc. 22(5): 1009-1019 (2015) - [j29]Özlem Uzuner, Amber Stubbs:
Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks. J. Biomed. Informatics 58: S1-S5 (2015) - [j28]Amber Stubbs, Christopher Kotfila, Özlem Uzuner:
Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1. J. Biomed. Informatics 58: S11-S19 (2015) - [j27]Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu:
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58: S189-S196 (2015) - [j26]Amber Stubbs, Özlem Uzuner:
Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus. J. Biomed. Informatics 58: S20-S29 (2015) - [j25]Vishesh Kumar, Amber Stubbs, Stanley Y. Shaw, Özlem Uzuner:
Creation of a new longitudinal corpus of clinical narratives. J. Biomed. Informatics 58: S6-S10 (2015) - [j24]Amber Stubbs, Christopher Kotfila, Hua Xu, Özlem Uzuner:
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. J. Biomed. Informatics 58: S67-S77 (2015) - [j23]Amber Stubbs, Özlem Uzuner:
Annotating risk factors for heart disease in clinical narratives for diabetic patients. J. Biomed. Informatics 58: S78-S91 (2015) - [j22]Christopher Kotfila, Özlem Uzuner:
A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases. J. Biomed. Informatics 58: S92-S102 (2015) - [c29]Özlem Uzuner, John S. Aberdeen, Stéphane M. Meystre, Mehmet Kayaalp:
State of the Art of Clinical Narrative Report De-Identification and Its Future. AMIA 2015 - [c28]