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Nansu Zong
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2020 – today
- 2024
- [j19]Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn:
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31(7): 1493-1502 (2024) - [j18]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) - 2023
- [j17]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [c20]Shaika Chowdhury, Yongbin Chen, Xiao Ma, Qiying Dai, Yue Yu, Nansu Zong:
Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records. BCB 2023: 34:1-34:6 - [c19]Yang Ren, Dezhi Wu, Aditya Khurana, George M. Mastorakos, Sunyang Fu, Nansu Zong, Jungwei Fan, Hongfang Liu, Ming Huang:
Classification of Patient Portal Messages with BERT-based Language Models. ICHI 2023: 176-182 - [c18]Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang:
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. ICHI 2023: 193-199 - [c17]Ming Huang, Aditya Khurana, George M. Mastorakos, Jiawei Zhou, Nansu Zong, Yue Yu, Julie E. Prigge, Christi A. Patten, Hongfang Liu, Brian Costello:
Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study. ICHI 2023: 381-387 - [c16]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [c15]Guohui Xiao, Emily R. Pfaff, Eric Prud'hommeaux, David Booth, Deepak K. Sharma, Nan Huo, Yue Yu, Nansu Zong, Kathryn J. Ruddy, Christopher G. Chute, Guoqian Jiang:
FHIR-Ontop-OMOP: Querying OMOP clinical databases as FHIR-compliant Clinical Knowledge Graphs. SWAT4HCLS 2023: 165-166 - [i2]Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang:
Detecting Reddit Users with Depression Using a Hybrid Neural Network. CoRR abs/2302.02759 (2023) - [i1]Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong:
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction. CoRR abs/2309.10016 (2023) - 2022
- [j16]Nansu Zong, Ning Li, Andrew Wen, Victoria Ngo, Yue Yu, Ming Huang, Shaika Chowdhury, Chao Jiang, Sunyang Fu, Richard Weinshilboum, Guoqian Jiang, Lawrence Hunter, Hongfang Liu:
BETA: a comprehensive benchmark for computational drug-target prediction. Briefings Bioinform. 23(4) (2022) - [j15]Jie Na, Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang, Guoqian Jiang:
Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench. J. Am. Medical Informatics Assoc. 29(6): 1128 (2022) - [j14]Yue Yu, Nansu Zong, Andrew Wen, Sijia Liu, Daniel J. Stone, David Knaack, Alanna M. Chamberlain, Emily R. Pfaff, Davera Gabriel, Christopher G. Chute, Nilay Shah, Guoqian Jiang:
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration. J. Biomed. Informatics 127: 104002 (2022) - [j13]Guohui Xiao, Emily R. Pfaff, Eric Prud'hommeaux, David Booth, Deepak K. Sharma, Nan Huo, Yue Yu, Nansu Zong, Kathryn J. Ruddy, Christopher G. Chute, Guoqian Jiang:
FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model. J. Biomed. Informatics 134: 104201 (2022) - [j12]Nansu Zong, Andrew Wen, Sungrim Moon, Sunyang Fu, Liwei Wang, Yiqing Zhao, Yue Yu, Ming Huang, Yanshan Wang, Gang Zheng, Michelle M. Mielke, James R. Cerhan, Hongfang Liu:
Computational drug repurposing based on electronic health records: a scoping review. npj Digit. Medicine 5 (2022) - [c14]Nan Huo, Yue Yu, Nansu Zong, Andrea Cheville, Claude Nanjo, Eric Prud'hommeaux, Deirdre Pachman, Guohui Xiao, Emily R. Pfaff, Christopher G. Chute, Guoqian Jiang, Kathryn J. Ruddy:
Modeling a Cancer Symptom Control Domain Using HL7 FHIR: Applicability of the Minimal Common Oncology Data Elements (mCODE). AMIA 2022 - [c13]Yue Yu, Kathryn J. Ruddy, Nan Huo, Nansu Zong, Deirdre Pachman, Christopher G. Chute, Emily R. Pfaff, Andrea Cheville, Guoqian Jiang:
A Comparative Study on the Capability of Real-World Antineoplastic Drug Data Collection by CanMED, ATC and HemOnc. AMIA 2022 - [c12]Nansu Zong, Victoria Ngo:
Computational Drug Target Prediction: Benchmark and Experiments. ICHI 2022: 559-560 - 2021
- [j11]Nansu Zong, Rachael Sze Nga Wong, Yue Yu, Andrew Wen, Ming Huang, Ning Li:
Drug-target prediction utilizing heterogeneous bio-linked network embeddings. Briefings Bioinform. 22(1): 568-580 (2021) - [j10]Nansu Zong, Daniel J. Stone, Deepak K. Sharma, Andrew Wen, Chen Wang, Yue Yu, Ming Huang, Sijia Liu, Hongfang Liu, Qian Shi, Guoqian Jiang:
Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data. Int. J. Medical Informatics 145: 104308 (2021) - [j9]Jie Na, Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang, Guoqian Jiang:
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench. J. Am. Medical Informatics Assoc. 28(11): 2313-2324 (2021) - [c11]Chao Jiang, Victoria Ngo, Richard Chapman, Hongfang Liu, Guoqian Jiang, Nansu Zong:
Automatic Construction of Biomedical Knowledge Graph from Covid-19 Literature. AMIA 2021 - [c10]Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi A. Patten:
Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. AMIA 2021 - [c9]Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA 2021 - [c8]Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu:
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. MedInfo 2021: 173-177
2010 – 2019
- 2018
- [j8]Xiaoling Chen, Anupama E. Gururaj, Ibrahim Burak Özyurt, Ruiling Liu, Ergin Soysal, Trevor Cohen, Firat Tiryaki, Yueling Li, Nansu Zong, Min Jiang, Deevakar Rogith, Mandana Salimi, Hyeon-Eui Kim, Philippe Rocca-Serra, Alejandra N. González-Beltrán, Claudiu Farcas, Todd Johnson, Ronald Margolis, George Alter, Susanna-Assunta Sansone, Ian Fore, Lucila Ohno-Machado, Jeffrey S. Grethe, Hua Xu:
DataMed - an open source discovery index for finding biomedical datasets. J. Am. Medical Informatics Assoc. 25(3): 300-308 (2018) - 2017
- [j7]Nansu Zong, Hyeoneui Kim, Victoria Ngo, Olivier Harismendy:
Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations. Bioinform. 33(15): 2337-2344 (2017) - [j6]Nansu Zong, Sungin Lee, Jinhyun Ahn, Hong-Gee Kim:
Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships. Comput. Biol. Medicine 87: 217-229 (2017) - [j5]Nansu Zong, Hong-Gee Kim, Sejin Nam:
Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data. Data Knowl. Eng. 112: 79-93 (2017) - [j4]Jinhyun Ahn, Jae-Hong Eom, Sejin Nam, Nansu Zong, Dong-Hyuk Im, Hong-Gee Kim:
xStore: Federated temporal query processing for large scale RDF triples on a cloud environment. Neurocomputing 256: 5-12 (2017) - [c7]Ethan Park, Diana Guijarro, Imho Jang, Stephen Trac, Nansu Zong, Hyeoneui Kim:
Explorative Analyses on Indexing OMOP based Clinical Datasets with DATS. AMIA 2017 - 2016
- [j3]Sejin Nam, Senator Jeong, Sang-Kyun Kim, Hong-Gee Kim, Victoria Ngo, Nansu Zong:
Structuralizing biomedical abstracts with discriminative linguistic features. Comput. Biol. Medicine 79: 276-285 (2016) - 2015
- [j2]Nansu Zong, Sungin Lee, Hong-Gee Kim:
Discovering expansion entities for keyword-based entity search in linked data. J. Inf. Sci. 41(2): 209-227 (2015) - [j1]Nansu Zong, Sejin Nam, Jae-Hong Eom, Jinhyun Ahn, Hyunwhan Joe, Hong-Gee Kim:
Aligning ontologies with subsumption and equivalence relations in Linked Data. Knowl. Based Syst. 76: 30-41 (2015) - 2014
- [c6]Jinhyun Ahn, Dong-Hyuk Im, Jae-Hong Eom, Nansu Zong, Hong-Gee Kim:
G-Diff: A Grouping Algorithm for RDF Change Detection on MapReduce. JIST 2014: 230-235 - 2013
- [c5]Nansu Zong, Sungin Lee, Hong-Gee Kim:
A Comparison of Unsupervised Taxonomical Relationship Induction Approaches for Building Ontology in RDF Resources. JIST 2013: 445-459 - 2012
- [c4]Nansu Zong, Dong-Hyuk Im, Sung-Kwon Yang, Hyun Namgoong, Hong-Gee Kim:
Dynamic generation of concepts hierarchies for knowledge discovering in bio-medical linked data sets. ICUIMC 2012: 12:1-12:5 - [c3]Dong-Hyuk Im, Nansu Zong, Eung-Hee Kim, Seokchan Yun, Hong-Gee Kim:
A hypergraph-based storage policy for RDF version management system. ICUIMC 2012: 74:1-74:5 - 2011
- [c2]Nansu Zong, Sung-Kwon Yang, Hyun Namgoong, Hong-Gee Kim:
Discovering and Ranking New Links for Linked Data Supplier. JIST 2011: 358-365
2000 – 2009
- 2009
- [c1]Nansu Zong, Yelu Zheng, Zhong Wang:
A SWRL Rules Parser Algorithm Based on the Topic Semantic Comparability and Ant Colony Algorithm. FSKD (2) 2009: 161-167
Coauthor Index
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