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2020 – today
- 2023
[j95]Betina Ross S. Idnay, Yilu Fang
, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. Int. J. Medical Informatics 171: 104985 (2023)- [j94]Casey N. Ta, Jason E. Zucker, Po-Hsiang Chiu, Yilu Fang, Karthik Natarajan, Chunhua Weng:
Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. J. Am. Medical Informatics Assoc. 30(2): 256-272 (2023) - [j93]Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - 2022
- [j92]Sarah J. Nelson, Bethany Drury, Daniel Hood, Jeremy Harper, Tiffany Bernard, Chunhua Weng, Nan Kennedy, Bernard LaSalle, Ramkiran Gouripeddi, Consuelo H. Wilkins, Paul A. Harris:
EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites. J. Am. Medical Informatics Assoc. 29(4): 652-659 (2022) - [j91]Young J. Juhn, Euijung Ryu, Chung-Il Wi, Katherine S. King, Momin M. Malik, Santiago Romero-Brufau, Chunhua Weng, Sunghwan Sohn, Richard R. Sharp, John D. Halamka:
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29(7): 1142-1151 (2022) - [j90]Yilu Fang, Betina Ross S. Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng:
Combining human and machine intelligence for clinical trial eligibility querying. J. Am. Medical Informatics Assoc. 29(7): 1161-1171 (2022) - [j89]Ken Wiley, Laura Findley, Madison Goldrich, Tejinder K. Rakhra-Burris, Ana Stevens, Pamela Williams, Carol J. Bult, Rex L. Chisholm, Patricia Deverka, Geoffrey S. Ginsburg, Eric D. Green, Gail P. Jarvik, George A. Mensah, Erin Ramos, Mary V. Relling, Dan M. Roden, Robb Rowley, Gil Alterovitz, Samuel J. Aronson, Lisa Bastarache, James J. Cimino, Erin L. Crowgey, Guilherme Del Fiol, Robert R. Freimuth, Mark A. Hoffman, Janina M. Jeff, Kevin B. Johnson, Kensaku Kawamoto, Subha Madhavan, Eneida A. Mendonça, Lucila Ohno-Machado, Siddharth Pratap, Casey Overby Taylor, Marylyn D. Ritchie, Nephi Walton, Chunhua Weng, Teresa Zayas-Cabán, Teri A. Manolio, Marc S. Williams:
A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J. Am. Medical Informatics Assoc. 29(8): 1342-1349 (2022) - [j88]Sylvia Cho, Ipek Ensari, Noémie Elhadad, Chunhua Weng, Jennifer M. Radin, Brinnae Bent, Pooja M. Desai, Karthik Natarajan:
An interactive fitness-for-use data completeness tool to assess activity tracker data. J. Am. Medical Informatics Assoc. 29(12): 2032-2040 (2022) - [j87]James R. Rogers, Jovana Pavisic, Casey N. Ta, Cong Liu, Ali Soroush, Ying Kuen Cheung, George Hripcsak, Chunhua Weng:
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety. J. Biomed. Informatics 127: 104032 (2022) - [j86]Junghwan Lee, Cong Liu, Junyoung Kim, Zhehuan Chen, Yingcheng Sun, James R. Rogers, Wendy K. Chung, Chunhua Weng:
Deep learning for rare disease: A scoping review. J. Biomed. Informatics 135: 104227 (2022) - [j85]Hao Liu, Simona Carini, Zhehuan Chen, Spencer Phillips Hey, Ida Sim, Chunhua Weng:
Ontology-based categorization of clinical studies by their conditions. J. Biomed. Informatics 135: 104235 (2022) - [j84]Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen:
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 22(1): 23 (2022) - [j83]Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu:
A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. BMC Medical Informatics Decis. Mak. 22(3): 235 (2022) - [c107]Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. AMIA 2022 - [c106]Betina Ross S. Idnay, Yilu Fang, Yingcheng Sun, Hao Liu, Zhehuan Chen, Rebecca Schnall, Chunhua Weng:
Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. AMIA 2022 - [c105]Kayla Schiffer, Chunhua Weng, Yoolim Choi:
Leveraging Hierarchical Concept Relations to Improve Automatic Detection of Off-Label Drug Use in Electronic Health Records Data. AMIA 2022 - [c104]Ali Soroush, Courtney J. Diamond, Haley Zylberberg, Julian Abrams, Chunhua Weng:
A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance. AMIA 2022 - [c103]Zhehuan Chen, Yilu Fang, Hao Liu, Chunhua Weng:
Data-Driven Modeling of Randomized Controlled Trial Outcomes. MIE 2022: 392-396 - 2021
- [j82]Melissa Beauchemin, Chunhua Weng, Lillian Sung, Adrienne Pichon, Maura Abbott, Dawn L. Hershman, Rebecca Schnall:
Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation. Appl. Clin. Inform. 12(02): 320-328 (2021) - [j81]Yingcheng Sun, Alex M. Butler, Ibrahim Diallo, Jae Hyun Kim, Casey N. Ta, James R. Rogers, Hao Liu, Chunhua Weng:
A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data. Appl. Clin. Inform. 12(4): 816-825 (2021) - [j80]Jae Hyun Kim, Alex M. Butler, Casey N. Ta, Yingcheng Sun, Mathew S. Maurer, Chunhua Weng:
The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials. Int. J. Medical Informatics 156: 104587 (2021) - [j79]Jae Hyun Kim, Casey N. Ta, Cong Liu, Cynthia Sung, Alex M. Butler, Latoya A. Stewart, Lyudmila Ena, James R. Rogers, Junghwan Lee, Anna Ostropolets, Patrick B. Ryan, Hao Liu, Shing M. Lee, Mitchell S. V. Elkind, Chunhua Weng:
Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. J. Am. Medical Informatics Assoc. 28(1): 14-22 (2021) - [j78]James R. Rogers, Junghwan Lee, Ziheng Zhou, Ying Kuen Cheung, George Hripcsak, Chunhua Weng:
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. J. Am. Medical Informatics Assoc. 28(1): 144-154 (2021) - [j77]Yingcheng Sun, Alex M. Butler, Fengyang Lin, Hao Liu, Latoya A. Stewart, Jae Hyun Kim, Betina Ross S. Idnay, Qingyin Ge, Xinyi Wei, Cong Liu, Chi Yuan, Chunhua Weng:
The COVID-19 Trial Finder. J. Am. Medical Informatics Assoc. 28(3): 616-621 (2021) - [j76]Tian Kang, Adler J. Perotte, Youlan Tang, Casey N. Ta, Chunhua Weng:
UMLS-based data augmentation for natural language processing of clinical research literature. J. Am. Medical Informatics Assoc. 28(4): 812-823 (2021) - [j75]Tian Kang, Ali Turfah, Jaehyun Kim, Adler J. Perotte, Chunhua Weng:
A neuro-symbolic method for understanding free-text medical evidence. J. Am. Medical Informatics Assoc. 28(8): 1703-1711 (2021) - [j74]Chi Yuan, Patrick B. Ryan, Casey N. Ta, Jae Hyun Kim, Ziran Li, Chunhua Weng:
From clinical trials to clinical practice: How long are drugs tested and then used by patients? J. Am. Medical Informatics Assoc. 28(11): 2456-2460 (2021) - [j73]Lauren Franks, Hao Liu, Mitchell S. V. Elkind, Muredach P. Reilly, Chunhua Weng, Shing M. Lee:
Misalignment between COVID-19 hotspots and clinical trial sites. J. Am. Medical Informatics Assoc. 28(11): 2461-2466 (2021) - [j72]Betina Ross S. Idnay, Caitlin N. Dreisbach, Chunhua Weng, Rebecca Schnall:
A systematic review on natural language processing systems for eligibility prescreening in clinical research. J. Am. Medical Informatics Assoc. 29(1): 197-206 (2021) - [j71]Jia Guo, Chi Yuan, Ning Shang, Tian Zheng, Natalie A. Bello, Krzysztof Kiryluk, Chunhua Weng, Shuang Wang:
Similarity-based health risk prediction using Domain Fusion and electronic health records data. J. Biomed. Informatics 116: 103711 (2021) - [j70]Hao Liu, Chi Yuan, Alex M. Butler, Yingcheng Sun, Chunhua Weng:
A knowledge base of clinical trial eligibility criteria. J. Biomed. Informatics 117: 103771 (2021) - [j69]Yingcheng Sun, Alex M. Butler, Latoya A. Stewart, Hao Liu, Chi Yuan, Christopher T. Southard, Jae Hyun Kim, Chunhua Weng:
Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. J. Biomed. Informatics 118: 103790 (2021) - [j68]James R. Rogers, George Hripcsak, Ying Kuen Cheung, Chunhua Weng:
Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method. J. Biomed. Informatics 119: 103822 (2021) - [j67]Amelia J. Averitt, Patrick B. Ryan, Chunhua Weng, Adler J. Perotte:
A conceptual framework for external validity. J. Biomed. Informatics 121: 103870 (2021) - [j66]Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk:
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021) - [j65]Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam Gordon, Iftikhar J. Kullo, Shawn N. Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza:
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digit. Medicine 4 (2021) - [c102]Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David J. Cronkite, Sunghwan Sohn, Shawn N. Murphy, Justin H. Gundelach, Vivian S. Gainer, Victor M. Castro, Cong Liu, Todd Lingren, Frank D. Mentch, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al'ona Furmanchuk, Roshan Patel, David S. Carrell, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei-Qi Wei:
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. AMIA 2021 - [c101]Adrienne Pichon, Betina Ross S. Idnay, Rebecca Schnall, Karen Marder, Chunhua Weng:
Cognitive Function Characterization Using Electronic Health Records Notes. AMIA 2021 - [c100]Matthew E. Spotnitz, Jason Patterson, Vojtech Huser, Chunhua Weng, Karthik Natarajan:
Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. AMIA 2021 - [c99]Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu:
Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. ICHI 2021: 511-512 - [c98]Matthew E. Spotnitz, Jason Patterson, Vojtech Huser, Chunhua Weng, Karthik Natarajan:
Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. MedInfo 2021: 12-16 - [c97]Ali Turfah, Hao Liu, Latoya A. Stewart, Tian Kang, Chunhua Weng:
Extending PICO with Observation Normalization for Evidence Computing. MedInfo 2021: 268-272 - [c96]Cong Liu, Hao Liu, Casey N. Ta, James Roger, Alex Butler, Junghwan Lee, Jaehyun Kim, Ning Shang, Chunhua Weng:
Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification. MedInfo 2021: 297-300 - [c95]Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng:
Interactive Similarity-Based Search of Clinical Trials. MedInfo 2021: 309-313 - [c94]Zhehuan Chen, Hao Liu, Stan Liao, Marguerite Bernard, Tian Kang, Latoya A. Stewart, Chunhua Weng:
Representation and Normalization of Complex Interventions for Evidence Computing. MedInfo 2021: 592-596 - [c93]Fengyang Lin, Hao Liu, Paul Moon, Chunhua Weng:
A Sample Size Extractor for RCT Reports. MedInfo 2021: 617-621 - [c92]Junghwan Lee, Cong Liu, Casey N. Ta, Chunhua Weng:
Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks. MedInfo 2021: 1054-1055 - [c91]Zhehuan Chen, Hao Liu, Alex M. Butler, Anna Ostropolets, Chunhua Weng:
Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping. MIE 2021: 148-152 - [c90]Yilu Fang, Jae Hyun Kim, Betina Ross S. Idnay, Rebeca Aragon Garcia, Carmen E. Castillo, Yingcheng Sun, Hao Liu, Cong Liu, Chi Yuan, Chunhua Weng:
Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. MIE 2021: 984-988 - [i1]Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. CoRR abs/2112.10821 (2021) - 2020
- [j64]Marissa Burgermaster, Jung Hoon Son, Patricia G. Davidson, Arlene M. Smaldone, Gilad Kuperman, Daniel J. Feller, Katherine Gardner Burt, Matthew E. Levine, David J. Albers, Chunhua Weng, Lena Mamykina:
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. Int. J. Medical Informatics 139: 104158 (2020) - [j63]James R. Rogers, Hollis Mills, Lisa V. Grossman, Andrew Goldstein, Chunhua Weng:
Understanding the nature and scope of clinical research commentaries in PubMed. J. Am. Medical Informatics Assoc. 27(3): 449-456 (2020) - [j62]Chi Yuan, Yongli Wang, Ning Shang, Ziran Li, Ruxin Zhao, Chunhua Weng:
A graph-based method for reconstructing entities from coordination ellipsis in medical text. J. Am. Medical Informatics Assoc. 27(9): 1364-1373 (2020) - [j61]Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Ning Shang, George Hripcsak, Chunhua Weng:
Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. J. Biomed. Informatics 102: 103363 (2020) - [j60]Chunhua Weng, Nigam H. Shah, George Hripcsak:
Deep phenotyping: Embracing complexity and temporality - Towards scalability, portability, and interoperability. J. Biomed. Informatics 105: 103433 (2020) - [j59]Jacqueline Peng, Mengge Zhao, James M. Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang, Yunyun Zhou:
Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder. BMC Medical Informatics Decis. Mak. 20-S(11): 322 (2020) - [j58]Amelia J. Averitt, Chunhua Weng, Patrick B. Ryan, Adler J. Perotte:
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. npj Digit. Medicine 3 (2020) - [c89]Alex M. Butler, Junghwan Lee, Yat S. So, Linda Busacca, Karen Marder, Henry N. Ginsberg, Dianne Frederick, Ismael Castaneda, Elizabeth Guerrido, Chunhua Weng:
Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting. AMIA 2020 - [c88]Hongfang Liu, Xiaoqian Jiang, Serguei V. S. Pakhomov, Chunhua Weng, Hua Xu:
The Open Health Natural Language Processing Collaboratory. AMIA 2020 - [c87]Hao Liu, Chi Yuan, Alex M. Butler, Yingcheng Sun, Chunhua Weng:
Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping. AMIA 2020 - [c86]Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Chunhua Weng, Anthony Molinaro, Frank J. DeFalco, Jitendra Jonnagaddala, Siaw-Teng Liaw, Hokyun Jeon, Rae Woong Park, Matthew E. Spotnitz, Karthik Natarajan, Kristin Kostka, George Argyriou, Robert T. Miller, Andrew E. Williams, Evan Minty, José D. Posada, George Hripcsak:
Characterizing database granularity using SNOMED-CT hierarchy. AMIA 2020 - [c85]James R. Rogers, Junghwan Lee, Ziheng Zhou, Patrick B. Ryan, George Hripcsak, Chunhua Weng:
Contemporary Use of Real World Data for Clinical Trial Conduct. AMIA 2020 - [c84]Ziran Li, Huanyao Chen, Chi Yuan, Chunhua Weng:
How Have Experimental Cancer Interventions Evolved over Time? MIE 2020: 252-256
2010 – 2019
- 2019
- [j57]Melissa Beauchemin, Meghan T. Murray, Lillian Sung, Dawn L. Hershman, Chunhua Weng, Rebecca Schnall:
Clinical decision support for therapeutic decision-making in cancer: A systematic review. Int. J. Medical Informatics 130 (2019) - [j56]Chi Yuan, Patrick B. Ryan, Casey N. Ta, Yixuan Guo, Ziran Li, Jill Hardin, Rupa Makadia, Peng Jin, Ning Shang, Tian Kang, Chunhua Weng:
Criteria2Query: a natural language interface to clinical databases for cohort definition. J. Am. Medical Informatics Assoc. 26(4): 294-305 (2019) - [j55]Cong Liu, Chi Yuan, Alex M. Butler, Richard D. Carvajal, Ziran Ryan Li, Casey N. Ta, Chunhua Weng:
DQueST: dynamic questionnaire for search of clinical trials. J. Am. Medical Informatics Assoc. 26(11): 1333-1343 (2019) - [j54]Shengqiang Chi, Xinhang Li, Yu Tian, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Chunhua Weng, Jing-Song Li:
Semi-supervised learning to improve generalizability of risk prediction models. J. Biomed. Informatics 92 (2019) - [j53]George Hripcsak, Ning Shang, Peggy L. Peissig, Luke V. Rasmussen, Cong Liu, Barbara Benoit, Robert J. Carroll, David S. Carrell, Joshua C. Denny, Ozan Dikilitas, Vivian S. Gainer, Kayla Marie Howell, Jeffrey G. Klann, Iftikhar J. Kullo, Todd Lingren, Frank D. Mentch, Shawn N. Murphy, Karthik Natarajan, Chunhua Weng:
Facilitating phenotype transfer using a common data model. J. Biomed. Informatics 96 (2019) - [j52]Olga Lyudovyk, Yufeng Shen, Nicholas P. Tatonetti, Susan J. Hsiao, Mahesh M. Mansukhani, Chunhua Weng:
Pathway analysis of genomic pathology tests for prognostic cancer subtyping. J. Biomed. Informatics 98 (2019) - [j51]Ning Shang, Cong Liu, Luke V. Rasmussen, Casey N. Ta, Robert J. Carroll, Barbara Benoit, Todd Lingren, Ozan Dikilitas, Frank D. Mentch, David S. Carrell, Wei-Qi Wei, Yuan Luo, Vivian S. Gainer, Iftikhar J. Kullo, Jennifer A. Pacheco, Hakon Hakonarson, Theresa L. Walunas, Joshua C. Denny, Chunhua Weng:
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. J. Biomed. Informatics 99 (2019) - [j50]Cong Liu, Casey N. Ta, James R. Rogers, Ziran Li, Junghwan Lee, Alex M. Butler, Ning Shang, Fabricio Sampaio Peres Kury, Liwei Wang, Feichen Shen, Hongfang Liu, Lyudmila Ena, Carol Friedman, Chunhua Weng:
Ensembles of natural language processing systems for portable phenotyping solutions. J. Biomed. Informatics 100 (2019) - [j49]Chunhua Weng, Carol Friedman, Casey A. Rommel, John F. Hurdle:
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research. BMC Medical Informatics Decis. Mak. 19-S(3): 5-12 (2019) - [j48]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. BMC Medical Informatics Decis. Mak. 19-S(3): 59-69 (2019) - [j47]Cong Liu, Fabricio Sampaio Peres Kury, Ziran Li, Casey N. Ta, Kai Wang, Chunhua Weng:
Doc2Hpo: a web application for efficient and accurate HPO concept curation. Nucleic Acids Res. 47(Webserver-Issue): W566-W570 (2019) - [c83]Melissa Beauchemin, Rebecca Schnall, Chunhua Weng:
Completeness and Concordance in Electronic Health Record (EHR) Documentation of Chemotherapy-Induced Nausea and Vomiting (CINV) in Pediatric Cancer. AMIA 2019 - [c82]Fabricio Sampaio Peres Kury, Li-heng Fu, Chi Yuan, Ida Sim, Simona Carini, Chunhua Weng:
Hidden Gaps in Using Common Data Models to Achieve Interoperability Between Electronic Phenotypes and Clinical Data. AMIA 2019 - [c81]Yanshan Wang, Andrew Wen, Sijia Liu, Jennifer L. St. Sauver, Adil E. Bharucha, Chunhua Weng, Hongfang Liu:
Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records. AMIA 2019 - [c80]Julia Wynn, Wei Wei, Xinhang Li, Yat So, Suzanne R. Bakken, Chunhua Weng, Wendy K. Chung:
User engagement with web-based genomics education videos and implications for designing scalable patient education materials. AMIA 2019 - [c79]Duo Helen Wei, Casey N. Ta, Harold Alan Pincus, Chunhua Weng:
Combining Clinical Data and Domain Knowledge for Analyzing Mental Disorder Concept Relatedness and Usage. ICHI 2019: 1-6 - [c78]Tian Kang, Shirui Zou, Chunhua Weng:
Pretraining to Recognize PICO Elements from Randomized Controlled Trial Literature. MedInfo 2019: 188-192 - [c77]Casey N. Ta, Chunhua Weng:
Detecting Systemic Data Quality Issues in Electronic Health Records. MedInfo 2019: 383-387 - [c76]Duo Helen Wei, Tian Kang, Harold Alan Pincus, Chunhua Weng:
Construction of Disease Similarity Networks Using Concept Embedding and Ontology. MedInfo 2019: 442-446 - [c75]Olga Lyudovyk, Chunhua Weng:
SNOMEDtxt: Natural Language Generation from SNOMED Ontology. MedInfo 2019: 1263-1267 - [c74]Chunhua Weng, Tianyong Hao, Carol Friedman, John F. Hurdle:
Crowdsourcing Public Opinion for Sharing Medical Records for the Advancement of Science. MedInfo 2019: 1393-1397 - [c73]Chunhua Weng, Amy K. Mir, David A. Hanauer, James J. Cimino:
Dialogue Analysis for Clinical Data Query Mediation. MedInfo 2019: 1398-1402 - [c72]Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie:
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB 2019: 272-283 - 2018
- [j46]Anando Sen, Andrew Goldstein, Shreya Chakrabarti, Ning Shang, Tian Kang, Anil Yaman, Patrick B. Ryan, Chunhua Weng:
The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. J. Am. Medical Informatics Assoc. 25(3): 239-247 (2018) - [j45]Ning Shang, Chunhua Weng, George Hripcsak:
A conceptual framework for evaluating data suitability for observational studies. J. Am. Medical Informatics Assoc. 25(3): 248-258 (2018) - [j44]Samuel J. Aronson, Lawrence J. Babb, Darren C. Ames, Richard A. Gibbs, Eric Venner, John J. Connelly, Keith Marsolo, Chunhua Weng, Marc S. Williams, Andrea L. Hartzler, Wayne H. Liang, James D. Ralston, Emily Beth Devine, Shawn N. Murphy, Christopher G. Chute, Pedro J. Caraballo, Iftikhar J. Kullo, Robert R. Freimuth, Luke V. Rasmussen, Firas H. Wehbe, Josh F. Peterson, Jamie R. Robinson, Ken Wiley, Casey Overby Taylor, eMERGE Network EHRI Working Group:
Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example. J. Am. Medical Informatics Assoc. 25(10): 1375-1381 (2018) - [j43]Chunhua Weng, Andrew Goldstein, Chi Yuan, Zhiping Zhou:
The ranking of scientists. J. Biomed. Informatics 79: 145-146 (2018) - [j42]Chunhua Weng, Nigam Shah, George Hripcsak:
Call for papers: Deep phenotyping for Precision Medicine. J. Biomed. Informatics 87: 66-67 (2018) - [j41]Lisa V. Grossman, Elliot G. Mitchell, George Hripcsak, Chunhua Weng, David K. Vawdrey:
A method for harmonization of clinical abbreviation and acronym sense inventories. J. Biomed. Informatics 88: 62-69 (2018) - [c71]Po-Hsiang Chiu, Ning Shang, Chunhua Weng:
Sequencing EHR for Disease Subtyping. AMIA 2018 - [c70]James J. Cimino, Ziran Li, Chunhua Weng:
An Exploration of the Terminology of Clinical Cognition and Reasoning. AMIA 2018 - [c69]Sigfried Gold, Andrea Batch, Robert C. McClure, Guoqian Jiang, Hadi Kharrazi, Rishi Saripalle, Vojtech Huser, Chunhua Weng, Nancy K. Roderer, Ana Szarfman, Niklas Elmqvist, David Gotz:
Clinical Concept Value Sets and Interoperability in Health Data Analytics. AMIA 2018 - [c68]Cong Liu, Chi Yuan, Eric Pua, Paul Harris, Chunhua Weng:
Dynamic Questionnaire Generation for Efficient Patient Search of Trials. AMIA 2018 - [c67]Xiao Dong, Yaoyun Zhang, Hua Xu, Chunhua Weng:
Guideline-driven data quality assessment- A case study of warfarin management. AMIA 2018 - [c66]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. ICHI Workshops 2018: 66-67 - [c65]Chunhua Weng, Carol Friedman, Casey A. Rommel, John F. Hurdle:
A Two-Site Survey of Medical Center Personnel's Willingness to Share Clinical Data for Research: Implications for Reproducible Health NLP Research. ICHI Workshops 2018: 78-79 - [r8]Chintan Patel, Chunhua Weng:
Clinical Data and Information Models. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Chintan Patel, Chunhua Weng:
Clinical Data Quality and Validation. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]