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2020 – today
- 2025
[j64]Guoqian Jiang
, Kaili Shen, Xiufeng Liu, Xu Cheng, Ping Xie:
Hierarchical Spatiotemporal Graph Network for Fault Diagnosis of Industrial Processes. IEEE Internet Things J. 12(3): 3043-3054 (2025)- 2024
- [j63]Ping Xie, Meng Xu, Tao Shen, Jie Chen, Guoqian Jiang, Junming Xiao, Xiaoling Chen:
A channel-fused gated temporal convolutional network for EMG-based gesture recognition. Biomed. Signal Process. Control. 95: 106408 (2024) - [j62]Guoqian Jiang, Kai Zhao, Xiufeng Liu, Xu Cheng, Ping Xie:
A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines. IEEE Internet Things J. 11(13): 23170-23185 (2024) - [j61]Renfang Wang, Hong Qiu, Guoqian Jiang, Xiufeng Liu, Xu Cheng:
Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine. IEEE Trans. Ind. Informatics 20(8): 10249-10258 (2024) - [j60]Guoqian Jiang, Pengcheng Nan, Jingchao Zhang, Yingwei Li, Xiaoli Li:
Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j59]Ruxu Yue, Guoqian Jiang, Xiaohang Jin, Qun He, Ping Xie:
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines. IEEE Trans. Instrum. Meas. 73: 1-17 (2024) - [j58]Ruchun Zhao, Guoqian Jiang, Qun He, Xiaohang Jin, Ping Xie:
Current-Aided Vibration Fusion Network for Fault Diagnosis in Electromechanical Drive System. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j57]Pengfei Liang, Bin Wang, Guoqian Jiang, Na Li, Lijie Zhang:
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds. Eng. Appl. Artif. Intell. 118: 105656 (2023) - [j56]Guoqian Jiang, Ruxu Yue, Qun He, Ping Xie, Xiaoli Li:
Imbalanced learning for wind turbine blade icing detection via spatio-temporal attention model with a self-adaptive weight loss function. Expert Syst. Appl. 229(Part A): 120428 (2023) - [j55]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144: 104442 (2023) - [j54]Deepak K. Sharma, Eric Prud'hommeaux, David Booth, Claude Nanjo, Guoqian Jiang:
Shape Expressions (ShEx) schemas for the FHIR R5 specification. J. Biomed. Informatics 148: 104534 (2023) - [c99]Jingwei Zhang, Guoqian Jiang, Jincheng Hu, Ping Xie:
Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces. ICCPR 2023: 114-119 - [c98]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 - 2022
- [j53]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) - [j52]Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo:
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis. Genom. Proteom. Bioinform. 20(5): 850-866 (2022) - [j51]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) - [j50]Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 29(9): 1449-1460 (2022) - [j49]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) - [j48]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) - [c97]James Champion, Eric Prud'hommeaux, David Booth, Gaurav Vaidya, James P. Balhoff, Deepak K. Sharma, Guoqian Jiang, Emily R. Pfaff:
Maximizing Interoperability, Enriching EHR Data: Transforming HL7 FHIR Data to RDF Using the FHIR RDF Playground. AMIA 2022 - [c96]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 - [c95]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 - [c94]Deepak K. Sharma, Eric Prud'hommeaux, David Booth, Kevin J. Peterson, Daniel J. Stone, Harold Solbrig, Guohui Xiao, Emily R. Pfaff, Guoqian Jiang:
Implementing a New FHIR RDF Specification for Semantic Clinical Data Using a JSON-LD-based Approach. SWAT4HCLS 2022: 82-86 - [i5]Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo:
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis. CoRR abs/2203.02794 (2022) - [i4]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR abs/2212.06042 (2022) - 2021
- [j47]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) - [j46]Guoqian Jiang, Sanket S. Dhruva, Jiajing Chen, Wade L. Schulz, Amit A. Doshi, Peter A. Noseworthy, Shumin Zhang, Yue Yu, Hobart Patrick Young, Eric Brandt, Keondae R. Ervin, Nilay D. Shah, Joseph S. Ross, Paul Coplan, Joseph P. Drozda:
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. J. Am. Medical Informatics Assoc. 28(10): 2241-2250 (2021) - [j45]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) - [j44]Eric Prud'hommeaux, Josh Collins, David Booth, Kevin J. Peterson, Harold R. Solbrig, Guoqian Jiang:
Development of a FHIR RDF data transformation and validation framework and its evaluation. J. Biomed. Informatics 117: 103755 (2021) - [j43]Qun He, Yanhua Pang, Guoqian Jiang, Ping Xie:
A Spatio-Temporal Multiscale Neural Network Approach for Wind Turbine Fault Diagnosis With Imbalanced SCADA Data. IEEE Trans. Ind. Informatics 17(10): 6875-6884 (2021) - [c93]Chao Jiang, Victoria Ngo, Richard Chapman, Hongfang Liu, Guoqian Jiang, Nansu Zong:
Automatic Construction of Biomedical Knowledge Graph from Covid-19 Literature. AMIA 2021 - [c92]Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 2021 - [c91]Natalie C. Benda, Pascal S. Brandt, Jessica S. Ancker, Jennifer A. Pacheco, Prakash Adekkanattu, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study. AMIA 2021 - [c90]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo:
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA 2021 - [c89]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 - [c88]Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA 2021 - 2020
- [j42]Chunyao Xu, Chao Sun, Guoqian Jiang, Xiaoling Chen, Qun He, Ping Xie:
Two-level multi-domain feature extraction on sparse representation for motor imagery classification. Biomed. Signal Process. Control. 62: 102160 (2020) - [j41]David Oniani, Guoqian Jiang, Hongfang Liu, Feichen Shen:
Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases. J. Am. Medical Informatics Assoc. 27(8): 1259-1267 (2020) - [j40]Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. J. Biomed. Informatics 102: 103361 (2020) - [j39]Kevin J. Peterson, Guoqian Jiang, Hongfang Liu:
A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR. J. Biomed. Informatics 110: 103541 (2020) - [j38]Hong Wang, Hongbin Wang, Guoqian Jiang, Yueling Wang, Shuang Ren:
A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine. Sensors 20(12): 3580 (2020) - [j37]Qun He, Jingyi Zhao, Guoqian Jiang, Ping Xie:
An Unsupervised Multiview Sparse Filtering Approach for Current-Based Wind Turbine Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(8): 5569-5578 (2020) - [c87]Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA 2020 - [c86]Harold R. Solbrig, Dazhi Jiao, Eric Prud'hommeaux, David Booth, Cory M. Endle, Daniel J. Stone, Guoqian Jiang:
Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data. AMIA 2020 - [c85]Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak:
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA 2020
2010 – 2019
- 2019
- [j36]Xin Wu, Guoqian Jiang, Xiao Wang, Ping Xie, Xiaoli Li:
A Multi-Level-Denoising Autoencoder Approach for Wind Turbine Fault Detection. IEEE Access 7: 59376-59387 (2019) - [j35]Yue Yu, Kathryn J. Ruddy, Na Hong, Shintaro Tsuji, Andrew Wen, Nilay D. Shah, Guoqian Jiang:
ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model. J. Biomed. Informatics 91 (2019) - [j34]Na Hong, Andrew Wen, Daniel J. Stone, Shintaro Tsuji, Paul R. Kingsbury, Luke V. Rasmussen, Jennifer A. Pacheco, Prakash Adekkanattu, Fei Wang, Yuan Luo, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries. J. Biomed. Informatics 99 (2019) - [j33]Na Hong, Kui Wang, Sizhu Wu, Feichen Shen, Lixia Yao, Guoqian Jiang:
An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling. J. Heal. Informatics Res. 3(3): 329-344 (2019) - [j32]Zijia Niu, Wen Liu, Jingyi Zhao, Guoqian Jiang:
DeepLab-Based Spatial Feature Extraction for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(2): 251-255 (2019) - [j31]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a portable natural language processing based phenotyping system. BMC Medical Informatics Decis. Mak. 19-S(3): 79-87 (2019) - [j30]Robinette Renner, Shengyu Li, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Mohan Vamsi Kasukurthi, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang:
Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner. BMC Medical Informatics Decis. Mak. 19-S(7): 276 (2019) - [j29]Guoqian Jiang, Haibo He, Jun Yan, Ping Xie:
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox. IEEE Trans. Ind. Electron. 66(4): 3196-3207 (2019) - [c84]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA 2019 - [c83]Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo:
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA 2019 - [c82]Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. MedInfo 2019: 462-466 - [c81]Guoqian Jiang, Yue Yu, Paul R. Kingsbury, Nilay D. Shah:
Augmenting Medical Device Evaluation Using a Reusable Unique Device Identifier Interoperability Solution Based on the OHDSI Common Data Model. MedInfo 2019: 1502-1503 - [i3]Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. CoRR abs/1904.04990 (2019) - [i2]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR abs/1905.01961 (2019) - 2018
- [j28]Li Wang, Yaoyun Zhang, Min Jiang, Jingqi Wang, Jiancheng Dong, Yun Liu, Cui Tao, Guoqian Jiang, Yi Zhou, Hua Xu:
Toward a normalized clinical drug knowledge base in China - applying the RxNorm model to Chinese clinical drugs. J. Am. Medical Informatics Assoc. 25(7): 809-818 (2018) - [j27]Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer, Thomas R. Campion Jr., Peter Speltz, Robert J. Carroll, Sarah C. Stallings, Huan Mo, Monika Ahuja, Guoqian Jiang, Eric R. LaRose, Peggy L. Peissig, Ning Shang, Barbara Benoit, Vivian S. Gainer, Kenneth Borthwick, Kathryn L. Jackson, Ambrish Sharma, Andy Yizhou Wu, Abel N. Kho, Dan M. Roden, Jyotishman Pathak, Joshua C. Denny, William K. Thompson:
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. J. Am. Medical Informatics Assoc. 25(11): 1540-1546 (2018) - [j26]Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu, Guoqian Jiang:
Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma. BMC Medical Informatics Decis. Mak. 18(S-5): 81-88 (2018) - [c80]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 - [c79]Na Hong, Andrew Wen, Majid Rastegar-Mojarad, Sunghwan Sohn, Hongfang Liu, Guoqian Jiang:
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP. AMIA 2018 - [c78]Guoqian Jiang, Jon D. Duke, Daniella Meeker, Mitra Rocca, Harold R. Solbrig, Shawn N. Murphy:
Using HL7 FHIR to Improve Standardization and Interoperability of Common Data Models for Clinical and Translational Research. AMIA 2018 - [c77]Robinette Renner, Harold R. Solbrig, Guoqian Jiang:
Representing Cancer Case Report Forms Using HL7 FHIR. AMIA 2018 - [c76]Wade L. Schulz, Hobart Patrick Young, Kathryn J. Ruddy, Nilay D. Shah, Joseph S. Ross, Scott Gordon, Mitra Rocca, Guoqian Jiang:
A Multi-Institutional Review and Validation of Federated Query Results in Multiple Common Data Models. AMIA 2018 - [c75]Harold R. Solbrig, Na Hong, Shawn N. Murphy, Guoqian Jiang:
Automated Population of an i2b2 Clinical Data Warehouse using FHIR. AMIA 2018 - [c74]Shintaro Tsuji, Andrew Wen, Guoqian Jiang:
Developing a RadLex-based Name Entity Recognition Tool for Mining Free-Text Radiology Reports. AMIA 2018 - [c73]Yue Yu, Kathryn J. Ruddy, Shintaro Tsuji, Na Hong, Nilay D. Shah, Guoqian Jiang:
Developing A Standards-based Signal Detection and Validation Framework of Immune-related Adverse Events Using the OHDSI Common Data Model. AMIA 2018 - [c72]Robinette Renner, Shengyu Li, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang:
Mapping Common Data Elements to a Domain Model Using an Artificial Neural Network. BIBM 2018: 1532-1535 - [c71]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. ICHI Workshops 2018: 86-87 - [c70]Chen Wang, Raymond M. Moore, Jared Evans, Xiao-Nan Hou, S. John Weroha, Guoqian Jiang:
Building a Research-Quality Copy Number Variation Data Repository for Translational Research. Poly/DMAH@VLDB 2018: 148-161 - [i1]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a Portable Natural Language Processing Based Phenotyping System. CoRR abs/1807.06638 (2018) - 2017
- [j25]Deepak K. Sharma, Harold R. Solbrig, Cui Tao, Chunhua Weng, Christopher G. Chute, Guoqian Jiang:
Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies. J. Biomed. Semant. 8(1): 19:1-19:11 (2017) - [j24]Harold R. Solbrig, Eric Prud'hommeaux, Grahame Grieve, Lloyd McKenzie, Joshua C. Mandel, Deepak K. Sharma, Guoqian Jiang:
Modeling and validating HL7 FHIR profiles using semantic web Shape Expressions (ShEx). J. Biomed. Informatics 67: 90-100 (2017) - [j23]Guoqian Jiang, Haibo He, Ping Xie, Yufei Tang:
Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 66(9): 2391-2402 (2017) - [c69]Guoqian Jiang, Walter S. Campbell, Timothy Clark, Cui Tao, Mark A. Musen:
Big Data to Knowledge (BD2K) and the Application of Metadata. AMIA 2017 - [c68]Guoqian Jiang, Guohui Xiao, Richard C. Kiefer, Eric Prud'hommeaux, Harold R. Solbrig:
Building an FHIR Ontology based Data Access Framework with the OHDSI Data Repositories. AMIA 2017 - [c67]Richard C. Kiefer, Luke V. Rasmussen, Jennifer A. Pacheco, Peter Speltz, Joshua C. Denny, William K. Thompson, Jyotishman Pathak, Guoqian Jiang:
Leveraging Value Sets from the Value Set Authority Center (VSAC) in a Standards-Based Clinical Data Repository. AMIA 2017 - [c66]Kevin J. Peterson, Guoqian Jiang, Scott M. Brue, Feichen Shen, Hongfang Liu:
Mining Hierarchies and Similarity Clusters from Value Set Repositories. AMIA 2017 - [c65]Deepak K. Sharma, Kevin J. Peterson, Guoqian Jiang:
Assessing Usability of the D2Refine Platform for Harmonization and Standardization of Clinical Study Data Dictionaries. AMIA 2017 - [c64]Peter Speltz, Luke V. Rasmussen, Richard C. Kiefer, Jennifer A. Pacheco, William K. Thompson, Guoqian Jiang, Jyotishman Pathak, Joshua C. Denny:
The Phenotype Execution and Modeling Architecture: A Roadmap Towards Next-generation Phenotyping Using EHRs. AMIA 2017 - [c63]Na Hong, Naresh Prodduturi, Chen Wang, Guoqian Jiang:
Shiny FHIR: Empowering Standards-based, Interoperable Clinical Data Applications Using R. CRI 2017 - [c62]Eric Prud'hommeaux, Harold R. Solbrig, Guoqian Jiang:
ShEx, RDF and FHIR. CRI 2017 - [c61]Deepak K. Sharma, Harold R. Solbrig, Eric Prud'hommeaux, Kathleen Lee, Jyotishman Pathak, Guoqian Jiang:
D2Refine: A Platform for Clinical Research Study Data Element Harmonization and Standardization. CRI 2017 - [c60]Na Hong, Kui Wang, Lixia Yao, Guoqian Jiang:
Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification. ICHI 2017: 26-30 - [c59]Na Hong, Naresh Prodduturi, Chen Wang, Guoqian Jiang:
Shiny FHIR: An Integrated Framework Leveraging Shiny R and HL7 FHIR to Empower Standards-Based Clinical Data Applications. MedInfo 2017: 868-872 - [c58]Guoqian Jiang, Richard C. Kiefer, Deepak K. Sharma, Eric Prud'hommeaux, Harold R. Solbrig:
A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR. MedInfo 2017: 887-891 - [c57]Guoqian Jiang, Richard C. Kiefer, Eric Prud'hommeaux, Harold R. Solbrig:
Building Interoperable FHIR-Based Vocabulary Mapping Services: A Case Study of OHDSI Vocabularies and Mappings. MedInfo 2017: 1327 - [c56]Guoqian Jiang, Eric Prud'hommeaux, Harold Solbrig:
Developing a Semantic Web-based Framework for Executing the Clinical Quality Language Using FHIR. SWAT4LS 2017 - [c55]Harold Solbrig, Eric Prud'hommeaux, Guoqian Jiang:
Blending FHIR RDF and OWL. SWAT4LS 2017 - 2016
- [j22]Na Hong, Jyotishman Pathak, Christopher G. Chute, Guoqian Jiang:
Developing a modular architecture for creation of rule-based clinical diagnostic criteria. BioData Min. 9: 33 (2016) - [j21]Guoqian Jiang, Julie Evans, Cory M. Endle, Harold R. Solbrig, Christopher G. Chute:
Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards. J. Biomed. Semant. 7: 10 (2016) - [j20]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. J. Biomed. Semant. 7: 24 (2016) - [j19]Abra Guo, Rebecca Racz, Junguk Hur, Yu Lin, Zuoshuang Xiang, Lili Zhao, Jordan Rinder, Guoqian Jiang, Qian Zhu, Yongqun He:
Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events. J. Biomed. Semant. 7: 29 (2016) - [j18]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, Mohan Vamsi Kasukurthi, Vikash Kumar Jha, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The development of non-coding RNA ontology. Int. J. Data Min. Bioinform. 15(3): 214-232 (2016) - [j17]Guoqian Jiang, Richard C. Kiefer, Luke V. Rasmussen, Harold R. Solbrig, Huan Mo, Jennifer A. Pacheco, Jie Xu, Enid N. H. Montague, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak:
Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution. J. Biomed. Informatics 62: 232-242 (2016) - [j16]