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ORCIDMeliha Yetisgen
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- affiliation: University of Washington, Seattle, Department of Biomedical Informatics and Medical Education
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2020 – today
- 2020
[j12]Dae Hyun Lee, Meliha Yetisgen, Lucy Vanderwende, Eric Horvitz:
Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision. J. Biomed. Informatics 107: 103425 (2020)- [c45]Wen-wai Yim, Meliha Yetisgen, Jenny Huang, Micah Grossman:
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation. LREC 2020: 413-421 - [i4]Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction. CoRR abs/2004.05438 (2020) - [i3]Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen:
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. CoRR abs/2009.00694 (2020) - [i2]Kevin Lybarger, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen:
Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework. CoRR abs/2012.00974 (2020)
2010 – 2019
- 2019
- [c44]Kevin Lybarger, Mari Ostendorf, Özlem Uzuner, Meliha Yetisgen:
Automatic Identification of Social Determinants of Health from Clinical Records. AMIA 2019 - [i1]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
- [c43]Dae Hyun Lee, Meliha Yetisgen, Eric Horvitz:
Learning about Life-Saving Interventions to Predict the Risk of Acute Organ Failures. AMIA 2018 - [c42]Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf:
Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes. AMIA 2018 - [c41]Ramón Maldonado, Mark Sullivan, Meliha Yetisgen, Sanda M. Harabagiu:
Hierarchical Attention-Based Prediction Model for Discovering the Persistence of Chronic Opioid Therapy from a large Clinical Dataset. AMIA 2018 - 2017
- [j11]Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen:
Classifying tumor event attributes in radiology reports. J. Assoc. Inf. Sci. Technol. 68(11): 2662-2674 (2017) - [c40]Meliha Yetisgen, Lucy Vanderwende:
Automatic Identification of Substance Abuse from Social History in Clinical Text. AIME 2017: 171-181 - [c39]Dae Hyun Lee, Meliha Yetisgen:
Clustering Vital Sign Observations Using Unsupervised Random Forest. AMIA 2017 - [c38]Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition. AMIA 2017 - [c37]Thomas H. Payne, Andrew Markiel, William D. Alonso, Ross J. Lordon, Kevin Lybarger, Meliha Yetisgen, Jennifer M. Zech, Andrew A. White:
Improving Electronic Inpatient Progress Notes Using Voice: Results from the VGEENS Project. AMIA 2017 - [c36]Wen-wai Yim, Sharon W. Kwan, Guy Johnson, Meliha Yetisgen:
Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports. AMIA 2017 - [c35]Adyasha Maharana, Meliha Yetisgen:
Clinical Event Detection with Hybrid Neural Architecture. BioNLP 2017: 351-355 - [c34]Meliha Yetisgen, Lucy Vanderwende:
Automatic Identification of Substance Abuse Events from Clinical Text. CRI 2017 - [c33]Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen:
Automatic Liver Cancer Stage Prediction From Free-Text Clinical Notes. CRI 2017 - 2016
- [j10]Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen:
Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. J. Biomed. Informatics 64: 179-191 (2016) - [c32]Wen-wai Yim, Tyler Denman, Sharon W. Kwan, Meliha Yetisgen:
Annotation of Tumor Reference Resolution and Tumor Characteristics for Cancer Liver Stage Prediction. AMIA 2016 - [c31]Michael Semanik, Meliha Yetisgen, Ari Pollack:
Identification of an Acute Kidney Injury Phenotype from Electronic Health Record Data. CRI 2016 - [c30]Meliha Yetisgen, Elena Pellicer, David R. Crosslin, Lucy Vanderwende:
Automatic Identification of Lifestyle and Environmental Factors from Social History in Clinical Text. CRI 2016 - [c29]Meliha Yetisgen, Lucy Vanderwende, Tony Black, Sean Mooney, Peter Tarczy-Hornoch:
A New Way of Representing Clinical Reports for Rapid Phenotyping. CRI 2016 - [c28]Wen-wai Yim, Tyler Denman, Sharon W. Kwan, Meliha Yetisgen:
Tumor Information Extraction in Radiology Reports for Hepatocellular Carcinoma Patients. CRI 2016 - [c27]Prescott Klassen, Fei Xia, Meliha Yetisgen:
Annotating and Detecting Medical Events in Clinical Notes. LREC 2016 - 2015
- [c26]Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen:
In-depth annotation for patient level liver cancer staging. Louhi@EMNLP 2015: 1-11 - [c25]Meliha Yetisgen, Prescott Klassen, Lucas McCarthy, Elena Pellicer, Tom Payne, Martin L. Gunn:
Annotation of Clinically Important Follow-up Recommendations in Radiology Reports. Louhi@EMNLP 2015: 50-54 - [c24]Meliha Yetisgen, Prescott Klassen, Lucas McCarthy, Thomas H. Payne, Martin L. Gunn:
Annotating Recommendation Sentences in Radiology Reports. AMIA 2015 - [c23]Wen-wai Yim, Sharon W. Kwan, Guy Johnson, Meliha Yetisgen:
Annotation of Disease Characteristics for Cancer Liver Stage Prediction. AMIA 2015 - 2014
- [c22]Wen-wai Yim, Xavier Engle, Heather L. Evans, Meliha Yetisgen:
A New Corpus for Structured Microbiology Results. AMIA 2014 - [c21]Anna Korhonen, Yufan Guo, Simon Baker, Meliha Yetisgen-Yildiz, Ulla Stenius, Masashi Narita
, Pietro Liò:
Improving Literature-Based Discovery with Advanced Text Mining. CIBB 2014: 89-98 - [c20]Özlem Uzuner, Meliha Yetisgen, Amber Stubbs:
Biomedical/Clinical NLP. COLING (Tutorials) 2014: 1-2 - [c19]Prescott Klassen, Fei Xia, Lucy Vanderwende, Meliha Yetisgen:
Annotating Clinical Events in Text Snippets for Phenotype Detection. LREC 2014: 2753-2757 - 2013
- [j9]Cosmin Adrian Bejan, Lucy Vanderwende, Fei Xia, Meliha Yetisgen-Yildiz:
Assertion modeling and its role in clinical phenotype identification. J. Biomed. Informatics 46(1): 68-74 (2013) - [j8]Meliha Yetisgen-Yildiz, Martin L. Gunn, Fei Xia, Thomas H. Payne:
A text processing pipeline to extract recommendations from radiology reports. J. Biomed. Informatics 46(2): 354-362 (2013) - [j7]Jina Huh, Meliha Yetisgen-Yildiz, Wanda Pratt:
Text classification for assisting moderators in online health communities. J. Biomed. Informatics 46(6): 998-1005 (2013) - [c18]Cosmin Adrian Bejan, Lucy Vanderwende, Heather L. Evans, Mark M. Wurfel, Meliha Yetisgen-Yildiz:
On-time clinical phenotype prediction based on narrative reports. AMIA 2013 - [c17]Meliha Yetisgen-Yildiz, Cosmin Bejan, Mark M. Wurfel:
Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports. BioNLP@ACL 2013: 10-17 - [c16]Lucy Vanderwende, Fei Xia, Meliha Yetisgen-Yildiz:
Annotating Change of State for Clinical Events. EVENTS@NAACL-HLT 2013: 47-51 - 2012
- [j6]Cosmin Adrian Bejan, Fei Xia, Lucy Vanderwende, Mark M. Wurfel, Meliha Yetisgen-Yildiz:
Pneumonia identification using statistical feature selection. J. Am. Medical Informatics Assoc. 19(5): 817-823 (2012) - [c15]Cosmin Adrian Bejan, Lucy Vanderwende, Mark M. Wurfel, Meliha Yetisgen-Yildiz:
Assessing Pneumonia Identification from Time-Ordered Narrative Reports. AMIA 2012 - [c14]Jina Huh, Meliha Yetisgen-Yildiz, Andrea Hartzler, David W. McDonald, Albert Park, Wanda Pratt:
Text Classification to Weave Medical Advice with Patient Experiences. AMIA 2012 - [c13]Michael Tepper, Fei Xia, Meliha Yetisgen-Yildiz:
Smoking Status Detection Across Domains. AMIA 2012 - [c12]Jina Huh, Andrea Hartzler, Sean A. Munson, Nick R. Anderson, Kelly Edwards, John L. Gore, David W. McDonald, Jim O'Leary, Andrea A. Parker, Derek Streat, Meliha Yetisgen-Yildiz, Mark S. Ackerman, Wanda Pratt:
Brainstorming design for health: helping patients utilize patient-generated information on the web. CSCW (Companion) 2012: 11-12 - [c11]Michael Tepper, Daniel Capurro, Fei Xia, Lucy Vanderwende, Meliha Yetisgen-Yildiz:
Statistical Section Segmentation in Free-Text Clinical Records. LREC 2012: 2001-2008 - 2011
- [j5]Zhihui Luo, Meliha Yetisgen-Yildiz, Chunhua Weng:
Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. J. Biomed. Informatics 44(6): 927-935 (2011) - 2010
- [c10]Nolan Lawson, Kevin Eustice, Mike Perkowitz, Meliha Yetisgen-Yildiz:
Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk. Mturk@HLT-NAACL 2010: 71-79 - [c9]Meliha Yetisgen-Yildiz, Imre Solti, Fei Xia, Scott R. Halgrim:
Preliminary Experiments with Amazon's Mechanical Turk for Annotating Medical Named Entities. Mturk@HLT-NAACL 2010: 180-183
2000 – 2009
- 2009
- [j4]Meliha Yetisgen-Yildiz, Wanda Pratt:
A new evaluation methodology for literature-based discovery systems. J. Biomed. Informatics 42(4): 633-643 (2009) - 2008
- [c8]Meliha Yetisgen-Yildiz, Wanda Pratt:
Finding the Meaning of Medical Concept Correlations. AMIA 2008 - 2007
- [j3]Wanda Pratt, Meliha Yetisgen-Yildiz:
Response to ''Validating discovery in literature-based discovery". J. Biomed. Informatics 40(4): 450-452 (2007) - [c7]Meliha Yetisgen-Yildiz, Wanda Pratt:
Extracting the meaning of medical concept correlations. K-CAP 2007: 179-180 - 2006
- [j2]Meliha Yetisgen-Yildiz, Wanda Pratt:
Using statistical and knowledge-based approaches for literature-based discovery. J. Biomed. Informatics 39(6): 600-611 (2006) - 2005
- [j1]Ismail H. Toroslu, Meliha Yetisgen-Yildiz:
Data mining in deductive databases using query flocks. Expert Syst. Appl. 28(3): 395-407 (2005) - [c6]Meliha Yetisgen-Yildiz, Wanda Pratt:
The Effect of Feature Representation on MEDLINE Document Classification. AMIA 2005 - [c5]Meredith M. Skeels, Kiera Henning, Meliha Yetisgen-Yildiz, Wanda Pratt:
Interaction design for literature-based discovery. CHI Extended Abstracts 2005: 1785-1788 - 2003
- [c4]Wanda Pratt, Meliha Yetisgen-Yildiz:
A Study of Biomedical Concept Identification: MetaMap vs. People. AMIA 2003 - [c3]Wanda Pratt, Meliha Yetisgen-Yildiz:
LitLinker: capturing connections across the biomedical literature. K-CAP 2003: 105-112 - 2002
- [c2]Ismail H. Toroslu, Meliha Yetisgen:
Data Mining in Deductive Databases Using Query Flocks: Extended Abstract. JCIS 2002: 494-497 - 2000
- [c1]Meliha Yetisgen, Ismail H. Toroslu:
Data Mining Using Query Flocks with Views. DEXA 2000: 720-729
Coauthor Index
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