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Meliha Yetisgen
Meliha Yetisgen-Yildiz
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- affiliation: University of Washington, Seattle, Department of Biomedical Informatics and Medical Education
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2020 – today
- 2024
- [j26]Satya S. Sahoo
, Joseph M. Plasek
Large language models for biomedicine: foundations, opportunities, challenges, and best practices. J. Am. Medical Informatics Assoc. 31(9): 2114-2124 (2024) - [j25]Yanjun Gao
Clinical natural language processing for secondary uses. J. Biomed. Informatics 150: 104596 (2024) - [c70]Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen, Martin Krallinger:
Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation. ClinicalNLP@NAACL 2024: 581-589 - [c69]Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen:
Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction. ClinicalNLP@NAACL 2024: 596-603 - [c68]Brian Hur, Lucy Lu Wang, Laura Hardefeldt, Meliha Yetisgen:
Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis. BioNLP@ACL 2024: 390-397 - [c67]Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia Sabrina Schmidt, Tabea Margareta Grace Pakull, Hendrik Damm, Benjamin Bracke, Christoph M. Friedrich, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Ahmedkhan Radzhabov, Vassili Kovalev, Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuelle Esperança-Rodier, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Maximilian Heinrich, Johannes Kiesel, Martin Potthast, Benno Stein:
Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. CLEF (2) 2024: 140-164 - [c66]Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia:
Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology. CLEF (Working Notes) 2024: 1456-1462 - [c65]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 - [c64]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 - [c63]Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Meliha Yetisgen:
To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability. LREC/COLING 2024: 16211-16223 - [c62]Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) 2024: 44-52 - [c61]Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Asma Ben Abacha, Meliha Yetisgen, Fei Xia:
DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology. MICCAI (5) 2024: 209-219 - [i24]Philip Chung, Christine T. Fong, Andrew M. Walters, Nima Aghaeepour, Meliha Yetisgen, Vikas N. O'Reilly-Shah:
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication. CoRR abs/2401.01620 (2024) - [i23]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) - [i22]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) - [i21]Yujuan Fu, Giridhar Kaushik Ramachandran, Ahmad Halwani, Bridget T. McInnes, Fei Xia, Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
CACER: Clinical Concept Annotations for Cancer Events and Relations. CoRR abs/2409.03905 (2024) - 2023
- [j24]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) - [j23]Kevin Lybarger
The 2022 n2c2/UW shared task on extracting social determinants of health. J. Am. Medical Informatics Assoc. 30(8): 1367-1378 (2023) - [j22]Kevin Lybarger
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) - [j21]Nicholas J. Dobbins
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. J. Am. Medical Informatics Assoc. 30(12): 1954-1964 (2023) - [j20]Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31(1): 89-97 (2023) - [j19]Giridhar Kaushik Ramachandran
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139: 104302 (2023) - [j18]Wilson Lau
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model. J. Digit. Imaging 36(1): 91-104 (2023) - [c60]Sitong Zhou, Meliha Yetisgen, Mari Ostendorf:
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. ClinicalNLP@ACL 2023: 344-357 - [c59]Giridhar Kaushik Ramachandran
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. ClinicalNLP@ACL 2023: 385-393 - [c58]Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations. ClinicalNLP@ACL 2023: 503-513 - [c57]Bogdan Ionescu, Henning Müller
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF 2023: 370-396 - [c56]Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. CLEF (Working Notes) 2023: 1347-1360 - [c55]Bogdan Ionescu, Henning Müller
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) 2023: 557-567 - [i20]Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health. CoRR abs/2301.05571 (2023) - [i19]Nicholas J. Dobbins
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. CoRR abs/2304.06203 (2023) - [i18]Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, Meliha Yetisgen:
ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. CoRR abs/2306.02022 (2023) - [i17]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) - [i16]Sitong Zhou, Meliha Yetisgen, Mari Ostendorf:
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. CoRR abs/2306.09544 (2023) - [i15]Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen:
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR abs/2310.02451 (2023) - 2022
- [j17]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) - [c54]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 - [i14]Nicholas J. Dobbins
The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria. CoRR abs/2207.13757 (2022) - [i13]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. CoRR abs/2208.08417 (2022) - [i12]Sitong Zhou, Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf:
Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes. CoRR abs/2209.09485 (2022) - [i11]Kevin Lybarger, Nicholas J. Dobbins
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record. CoRR abs/2212.07538 (2022) - 2021
- [j16]Kahyun Lee, Nicholas J. Dobbins
Transferability of neural network clinical deidentification systems. J. Am. Medical Informatics Assoc. 28(12): 2661-2669 (2021) - [j15]Kevin Lybarger
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. J. Biomed. Informatics 113: 103631 (2021) - [j14]Kevin Lybarger
Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework. J. Biomed. Informatics 117: 103761 (2021) - [c53]Arjun Chakraborty, Kevin Lybarger, Dustin Long, Vikas O. Shah, Meliha Yetisgen:
Automatic Detection of Surgical Site Infections Using EHR Data. AMIA 2021 - [c52]Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen:
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. AMIA 2021 - [c51]Wilson Lau, David Wayne, Spencer Lewis, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A New Corpus for Clinical Findings in Radiology Reports. AMIA 2021 - [c50]Kevin Lybarger, Linzee Mabrey, Matthew R. Thau, Pavan K. Bhatraju, Mark M. Wurfel, Meliha Yetisgen:
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. AMIA 2021 - [c49]Kevin Lybarger, Erica Qiao, Meliha Yetisgen:
An exploration of information extraction models on transcribed patient visits. AMIA 2021 - [c48]Grace K. Turner, Meliha Yetisgen:
Comparison of Three Phrase Chunking Approaches on Medical Concept Coverage in Clinical Text. AMIA 2021 - [i10]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) - [i9]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) - [i8]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) - [i7]Kevin Lybarger, Linzee Mabrey, Matthew Thau, Pavan K. Bhatraju, Mark M. Wurfel, Meliha Yetisgen:
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. CoRR abs/2103.06352 (2021) - [i6]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) - [i5]Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen:
Event-based clinical findings extraction from radiology reports with pre-trained language model. CoRR abs/2112.13512 (2021) - 2020
- [j13]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) - [c47]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 - [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]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
- [j12]Kevin Lybarger
Asynchronous Speech Recognition Affects Physician Editing of Notes. Appl. Clin. Inform. 09(04): 782-790 (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 G. 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 D. 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
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
Assertion modeling and its role in clinical phenotype identification. J. Biomed. Informatics 46(1): 68-74 (2013) - [j8]Meliha Yetisgen-Yildiz, Martin L. Gunn
A text processing pipeline to extract recommendations from radiology reports. J. Biomed. Informatics 46(2): 354-362 (2013) - [j7]Jina Huh
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
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 L. 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
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
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
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
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
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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