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ORCIDZhe He 0001
何辙
Person information
- unicode name: 何辙
- affiliation (since 2015): Florida State University, School of Information, Tallahassee, FL, USA
- affiliation (since 2014): Columbia University, Biomedical Informatics, New York, NY, USA
- affiliation (PhD 2014): New Jersey Institute of Technology, Newark, NJ, USA
Other persons with the same name
- Zhe He — disambiguation page
- Zhe He 0002
![[0000-0003-4434-5169]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4434-5169")
— University of Calgary, Alberta, Canada - Zhe He 0003 — University of Science and Technology of China, Hefei, China
- Zhe He 0004 — ETH Zürich, Switzerland
- Zhe He 0005 — Zhejiang University, Hangzhou, China
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2020 – today
- 2024
[j28]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024)- [c67]Insup Lee, Weisong Shi, Zhe He, Ye Sun:
Preface; CHASE 2024. CHASE 2024: x - [c66]Zhe He, Yi Guo, Jiang Bian:
Message from the General Chairs; ICHI 2024. ICHI 2024: xxii - [i14]Zhe He, Balu Bhasuran, Qiao Jin, Shubo Tian, Karim Hanna, Cindy Shavor, Lisbeth Y. Garcia Arguello, Patrick Murray, Zhiyong Lu:
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study. CoRR abs/2402.01693 (2024) - [i13]Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W. John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, Zhiyong Lu:
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning. CoRR abs/2402.13225 (2024) - [i12]Weisi Liu, Zhe He, Xiaolei Huang:
Time Matters: Examine Temporal Effects on Biomedical Language Models. CoRR abs/2407.17638 (2024) - [i11]Xiaoyu Wang, Haoyong Ouyang, Balu Bhasuran, Xiao Luo, Karim Hanna, Mia Liza A. Lustria, Zhe He:
Lab-AI - Retrieval-Augmented Language Model for Personalized Lab Test Interpretation in Clinical Medicine. CoRR abs/2409.18986 (2024) - [i10]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - 2023
- [j27]Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg:
Editorial: Explainable artificial intelligence for critical healthcare applications. Frontiers Artif. Intell. 6 (2023) - [c65]Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He:
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB 2023: 26:1-26:6 - [c64]Alex Moerschbacher, Zhe He:
Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records. BIBM 2023: 4368-4373 - [c63]Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian, Zhe He:
Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. BIBM 2023: 4426-4430 - [c62]Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo:
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. IEEE Big Data 2023: 1476-1480 - [c61]Xiaoyu Wang, Dipankar Gupta, Michael O. Killian, Zhe He:
Benchmarking Transformer-Based Models for Identifying Social Determinants of Health in Clinical Notes. ICHI 2023: 570-574 - [i9]Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian:
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR abs/2307.15715 (2023) - [i8]Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He:
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. CoRR abs/2308.05110 (2023) - [i7]Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo:
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. CoRR abs/2309.05475 (2023) - 2022
- [j26]Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin Harrell, Walter R. Boot:
A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. Inf. Process. Manag. 59(5): 103034 (2022) - [c60]Arslan Erdengasileng, Shubo Tian, Sara S. Green, Sylvie Naar, Zhe He:
Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. BIBM 2022: 3000-3007 - [c59]Akhil Shiju, Zhe He:
Classifying Drug Ratings Using User Reviews with Transformer-Based Language Models. ICHI 2022: 163-169 - [i6]Zhe He, Shubo Tian, Arslan Erdengasileng, Neil Charness, Jiang Bian:
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. CoRR abs/2202.10991 (2022) - 2021
- [j25]Juan Xie, Zhe He, Gary Burnett, Ying Cheng:
How do mothers exchange parenting-related information in online communities? A meta-synthesis. Comput. Hum. Behav. 115: 106631 (2021) - [j24]Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian:
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. npj Digit. Medicine 4 (2021) - [c58]Laura A. Barrett, Aiwen Xing, Elizabeth Steidley, Terrence J. Adam, Rui Zhang, Zhe He:
Assessing the Use of Prescription Drugs in Obese Respondents in the National Health and Nutrition Examination Survey. AMIA 2021 - [c57]Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jinfeng Zhang, Jiang Bian, Zhe He:
Transformer-based named entity recognition for parsing clinical trial eligibility criteria. BCB 2021: 49:1-49:6 - [c56]Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu, Rui Zhang:
Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. ICHI 2021: 513-514 - [c55]Yu Lu, Zhan Zhang, Katherine Min, Xiao Luo, Zhe He:
Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study. iConference (2) 2021: 18-36 - 2020
- [j23]Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, Zhe He:
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. J. Am. Medical Informatics Assoc. 27(7): 1173-1185 (2020) - [j22]Ling Zheng, Zhe He, Duo Helen Wei, Vipina Kuttichi Keloth, Jungwei Fan, Luke Lindemann, Xinxin Zhu, James J. Cimino, Yehoshua Perl:
A review of auditing techniques for the Unified Medical Language System. J. Am. Medical Informatics Assoc. 27(10): 1625-1638 (2020) - [j21]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Medical Informatics Decis. Mak. 20-S(4): 254 (2020) - [j20]Zhe He, Cui Tao, Jiang Bian, Rui Zhang:
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). BMC Medical Informatics Decis. Mak. 20-S(4): 315 (2020) - [c54]Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J. Adam, Zhe He, Rui Zhang:
Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA 2020 - [c53]Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, Jiang Bian:
Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. AMIA 2020 - [c52]Yu Lu, Xiao Luo, Zhan Zhang, Haoran Ding, Zhe He:
Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations. AMIA 2020 - [c51]Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He:
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. BIBM 2020: 1077-1081 - [c50]Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He:
DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j19]Pei-Yau Lung, Zhe He, Tingting Zhao, Disa Yu, Jinfeng Zhang:
Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering. Database J. Biol. Databases Curation 2019: bay138 (2019) - [j18]Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He:
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. BMC Bioinform. 20-S(16): 502:1-502:15 (2019) - [j17]Vipina Kuttichi Keloth, Zhe He, Gai Elhanan, James Geller:
Alternative classification of identical concepts in different terminologies: Different ways to view the world. J. Biomed. Informatics 94 (2019) - [j16]Zhe He, Jiang Bian, Cui Tao, Rui Zhang:
Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). BMC Medical Informatics Decis. Mak. 19-S(4): 148:1-148:3 (2019) - [j15]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian:
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. 19-S(4): 150:1-150:18 (2019) - [c49]Qian Li, Zhe He, Yi Guo, Hansi Zhang, Thomas J. George, William R. Hogan, Neil Charness, Jiang Bian:
Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study. AMIA 2019 - [c48]Zhan Zhang, Caleb Wilson, Zhe He:
Contextualizing Consumer Health Information Seeking. AMIA 2019 - [c47]Nur Hafieza Ismail, Mengnan Du, Diego Martinez, Zhe He:
Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. BCB 2019: 383-389 - [c46]Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He:
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. MedInfo 2019: 273-277 - [c45]Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. MedInfo 2019: 323-327 - [c44]François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian:
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. MedInfo 2019: 1293-1297 - [c43]Zhan Zhang, Yu Lu, Yubo Kou, Danny T. Y. Wu, Jina Huh-Yoo, Zhe He:
Understanding Patient Information Needs About Their Clinical Laboratory Results: A Study of Social Q&A Site. MedInfo 2019: 1403-1407 - [c42]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Identification of Cancer Survivors Living with PTSD on Social Media. MedInfo 2019: 1468-1469 - [c41]Zhe He, Laura A. Barrett, Rubina F. Rizvi, Seyedeh Neelufar Payrovnaziri, Rui Zhang:
Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients. MedInfo 2019: 1474-1475 - [c40]Lynette Hammond Gerido, Zhe He:
Improving Patient Participation in Cancer Clinical Trials: A Qualitative Analysis of HSRProj & RePORTER. MedInfo 2019: 1925-1926 - [c39]Zhan Zhang, Yu Lu, Caleb Wilson, Zhe He:
Making Sense of Clinical Laboratory Results: An Analysis of Questions and Replies in a Social Q&A Community. MedInfo 2019: 2009-2010 - [c38]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. SEPDA@ISWC 2019: 48-52 - [e1]Zhe He, Jiang Bian, Cui Tao, Rui Zhang:
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), Aukland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2427, CEUR-WS.org 2019 [contents] - [i5]Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He:
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR abs/1904.12383 (2019) - [i4]Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Zhe He:
Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. CoRR abs/1905.05849 (2019) - [i3]François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian:
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. CoRR abs/1905.12469 (2019) - [i2]Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. CoRR abs/1906.03171 (2019) - 2018
- [j14]Muhammad Amith, Zhe He, Jiang Bian, Juan Antonio Lossio-Ventura, Cui Tao:
Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. J. Biomed. Informatics 80: 1-13 (2018) - [j13]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(1): 73:1 (2018) - [j12]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(S-2): 53-68 (2018) - [j11]Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang:
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). BMC Medical Informatics Decis. Mak. 18(S-2): 56:1-56:4 (2018) - [j10]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, Jiang Bian:
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics Decis. Mak. 18(S-2): 115-127 (2018) - [j9]Tianyong Hao, Raymond K. Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Natural Language Processing Empowered Mobile Computing. Wirel. Commun. Mob. Comput. 2018: 9130545:1-9130545:2 (2018) - [c37]Lynette Hammond Gerido, Zhe He:
Opportunities to Improve Methods for Increasing Participation in Cancer Clinical Trials. AMIA 2018 - [c36]Vipina Kuttichi Keloth, Zhe He, Yan Chen, James Geller:
Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept. AMIA 2018 - [c35]Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William R. Hogan, Mattia Prosperi, Jiang Bian:
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. AMIA 2018 - [c34]Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He:
Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. BIBM 2018: 313-320 - [c33]Zhe He, Vipina Kuttichi Keloth, Yan Chen, James Geller:
Extended Analysis of Topological-Pattern-Based Ontology Enrichment. BIBM 2018: 1641-1648 - [c32]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian:
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM 2018: 1649-1652 - [c31]Lynette Hammond Gerido, Zhe He:
Patient-Centered Strategies to Increase Participation in Cancer Clinical Trials. ICHI 2018: 361-362 - [i1]Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian, Zhe He:
Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR abs/1812.05072 (2018) - 2017
- [j8]Zhe He, Zhiwei Chen, Sanghee Oh, Jinghui Hou, Jiang Bian:
Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. J. Biomed. Informatics 69: 75-85 (2017) - [c30]Zhe He, Zhiwei Chen, Sarah Mixon, Jiang Bian:
A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. AMIA 2017 - [c29]Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. AMIA 2017 - [c28]Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, François Modave, Zhe He, Elizabeth Shenkman, William R. Hogan:
Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. AMIA 2017 - [c27]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Yi Guo, Zhe He, Mirela Vasconcelos, Jiang Bian:
Building an Obesity and Cancer Semantic Web Knowledge Base. AMIA 2017 - [c26]Lynette Hammond Gerido, Michelle M. Kazmer, Zhe He, Marcia A. Mardis:
Emergent trends in research to increase participation of underrepresented populations in cancer clinical trials: A qualitative analysis of the HSRProj database. ASIST 2017: 677-678 - [c25]Biyang Yu, Lynette Hammond Gerido, Zhe He:
Exploring text classification of social support in online health communities for people who are D/deaf and hard of hearing. ASIST 2017: 840-841 - [c24]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
An exploration of semantic relations in neural word embeddings using extrinsic knowledge. BIBM 2017: 1246-1251 - [c23]Zhe He, Yehoshua Perl, Gai Elhanan, Yan Chen, James Geller, Jiang Bian:
Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. BIBM 2017: 1262-1269 - [c22]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Amanda Hicks, Jiang Bian:
OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. BIBM 2017: 1284-1287 - [c21]Biyang Yu, Zhe He:
Exploratory textual analysis of consumer health languages for people who are D/deaf and hard of hearing. BIBM 2017: 1288-1291 - [c20]Zhe He, Yan Chen, James Geller:
Perceiving the Usefulness of the National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns. MedInfo 2017: 863-867 - [c19]Zhe He, Aisha Langford:
Comparative Analysis of Geriatric and Adult Drug Clinical Trials on ClinicalTrials.gov. MedInfo 2017: 1265 - [c18]Tianyao Huo, Thomas J. George Jr., Yi Guo, Zhe He, Mattia Prosperi, François Modave, Jiang Bian:
Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. MedInfo 2017: 1270 - 2016
- [j7]Julia Hoxha, Praveen Chandar Ravichandran, Zhe He, James J. Cimino, David A. Hanauer, Chunhua Weng:
DREAM: Classification scheme for dialog acts in clinical research query mediation. J. Biomed. Informatics 59: 89-101 (2016) - [j6]Zhe He, Patrick B. Ryan, Julia Hoxha, Shuang Wang, Simona Carini, Ida Sim, Chunhua Weng:
Multivariate analysis of the population representativeness of related clinical studies. J. Biomed. Informatics 60: 66-76 (2016) - [j5]Christopher Ochs, Zhe He, Ling Zheng, James Geller, Yehoshua Perl, George Hripcsak, Mark A. Musen:
Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. J. Biomed. Informatics 61: 63-76 (2016) - [c17]Zhe He, Yan Chen, Sherri de Coronado, Katrina Piskorski, James Geller:
Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus. AMIA 2016 - [c16]Zhe He, Neil Charness, Jiang Bian, William R. Hogan:
Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations. BHI 2016: 136-139 - [c15]Zhe He, Zhiwei Chen, Jiang Bian:
Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies. BIBM 2016: 717-722 - [c14]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Josh Hanna, Yi Guo, Zhe He, Jiang Bian:
Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. BIBM 2016: 1081-1088 - [c13]Zhe He, Zhiwei Chen, Thomas J. George, Gloria P. Lipori, Jiang Bian:
Assessing the population representativeness of colorectal cancer treatment clinical trials. EMBC 2016: 2970-2973 - [c12]Cilia E. Zayas, Zhe He, Jiawei Yuan, Mildred Maldonado-Molina, William R. Hogan, François Modave, Yi Guo, Jiang Bian:
Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. FLAIRS 2016: 361-367 - [c11]Zhe He, James Geller:
Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus. MIE 2016: 389-393 - 2015
- [j4]Zhe He, James Geller, Yan Chen:
A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. Artif. Intell. Medicine 64(1): 29-40 (2015) - [j3]Zhe He, Simona Carini, Ida Sim, Chunhua Weng:
Visual aggregate analysis of eligibility features of clinical trials. J. Biomed. Informatics 54: 241-255 (2015) - [c10]Zhe He, Praveen Chandar Ravichandran, Patrick B. Ryan, Chunhua Weng:
Simulation-based Evaluation of the Generalizability Index for Study Traits. AMIA 2015 - [c9]Praveen Chandar Ravichandran, Anil Yaman, Julia Hoxha, Zhe He, Chunhua Weng:
Similarity-Based Recommendation of New Concepts to a Terminology. AMIA 2015 - [c8]Zhe He, Shuang Wang, Elhaam Borhanian, Chunhua Weng:
Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES. MedInfo 2015: 569-573 - 2014
- [c7]Zhe He, Simona Carini, Tianyong Hao, Ida Sim, Chunhua Weng:
A Method for Analyzing Commonalities in Clinical Trial Target Populations. AMIA 2014 - [c6]Chunhua Weng, Anil Yaman, Kuo Lin, Zhe He:
Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. ICSH 2014: 130-141 - 2013
- [j2]Ankur Agrawal, Zhe He, Yehoshua Perl, Duo Helen Wei, Michael Halper, Gai Elhanan, Yan Chen:
The readiness of SNOMED problem list concepts for meaningful use of electronic health records. Artif. Intell. Medicine 58(2): 73-80 (2013) - [j1]James Geller, Zhe He, Yehoshua Perl, C. Paul Morrey, Julia Xu:
Rule-based support system for multiple UMLS semantic type assignments. J. Biomed. Informatics 46(1): 97-110 (2013) - [c5]Zhe He, Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Dimitris Zeginis, Konstantinos A. Tarabanis, Gai Elhanan, Michael Halper, Natasha F. Noy, James Geller:
A Family-Based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal. AMIA 2013 - [c4]Zhe He, Christopher Ochs, Larisa N. Soldatova, Yehoshua Perl, Sivaram Arabandi, James Geller:
Auditing Redundant Import in Reuse of a Top Level Ontology for the Drug Discovery Investigations Ontology. VDOS+DO@ICBO 2013 - [c3]Christopher Ochs, Zhe He, Yehoshua Perl, Sivaram Arabandi, Michael Halper, James Geller:
Choosing the Granularity of Abstraction Networks for Orientation and Quality Assurance of the Sleep Domain Ontology. ICBO 2013: 84-89 - 2012
- [c2]Huanying Gu, Gai Elhanan, Michael Halper, Zhe He:
Questionable relationship triples in the UMLS. BHI 2012: 713-716 - [c1]Zhe He, Michael Halper, Yehoshua Perl, Gai Elhanan:
Clinical clarity versus terminological order: the readiness of SNOMED CT concept descriptors for primary care. MIX-HS 2012: 1-6
Coauthor Index
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last updated on 2024-12-26 00:49 CET by the dblp team
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