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ORCIDLingyun Shi
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2020 – today
- 2024
[j7]Sifei Han
, Russell Richie, Lingyun Shi, Fu-Chiang Tsui:
Automated Matchmaking of Researcher Biosketches and Funder Requests for Proposals Using Deep Neural Networks. IEEE Access 12: 98096-98106 (2024)- 2023
- [j6]Russell Richie, Victor M. Ruiz, Sifei Han, Lingyun Shi, Fuchiang (Rich) Tsui:
Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition. J. Am. Medical Informatics Assoc. 30(8): 1379-1388 (2023) - [j5]Luiz Eduardo Virgilio da Silva, Lingyun Shi, Hunter A. Gaudio, Viveknarayanan Padmanabhan, Ryan W. Morgan, Julia M. Slovis, Rodrigo M. Forti, Sarah Morton, Yuxi Lin, Gerard H. Laurent, Jake Breimann, Bo H. Yun, Nicolina R. Ranieri, Madison Bowe, Wesley B. Baker, Todd J. Kilbaugh, Tiffany S. Ko, Fuchiang (Rich) Tsui:
Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms. IEEE J. Biomed. Health Informatics 27(10): 4719-4727 (2023) - [c14]Xiaohan Zhang, Tao Wang, Lingyun Shi, Di Hua, Zhiliang Hong:
A 7W, 2.5-5GHz Wideband GaN PA with Transformer-Based Matching Network. ASICON 2023: 1-4 - [c13]Luiz Eduardo Virgilio da Silva, Hunter A. Gaudio, Nicholas J. Widmann, Rodrigo M. Forti, Viveknarayanan Padmanabhan, Kumaran Senthil, Julia M. Slovis, Constantine D. Mavroudis, Yuxi Lin, Lingyun Shi, Wesley B. Baker, Ryan W. Morgan, Todd J. Kilbaugh, Fuchiang (Rich) Tsui, Tiffany S. Ko:
Influence of Chest Compression on Amplitude Spectrum Area for the Prediction of the Return of Spontaneous Circulation in a Pediatric Swine Model. CinC 2023: 1-4 - 2022
- [j4]Sifei Han, Lingyun Shi, Russell Richie, Fuchiang R. Tsui:
Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring. Inf. Sci. 615: 90-102 (2022) - [j3]Sifei Han, Robert F. Zhang, Lingyun Shi, Russell Richie, Haixia Liu, Andrew Tseng, Wei Quan, Neal Ryan, David Brent, Fu-Chiang Tsui:
Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing. J. Biomed. Informatics 127: 103984 (2022) - [c12]Fuchiang (Rich) Tsui, Victor Ruiz, Sachin Grover, Lingyun Shi, Allan F. Simpao, Michael Goldstein:
Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data. AMIA 2022 - 2021
- [c11]Lingyun Shi, Naveen Muthu, Gerald P. Shaeffer, Yujie Sun, Victor M. Ruiz Herrera, Fuchiang R. Tsui:
Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records. MedInfo 2021: 660-664 - 2020
- [j2]Zhitao Guan, Xianwen Sun, Lingyun Shi, Longfei Wu, Xiaojiang Du:
A differentially private greedy decision forest classification algorithm with high utility. Comput. Secur. 96: 101930 (2020) - [c10]Edidiong Okon, Lingyun Shi, Rich Tsui:
Automated Diagnosis Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. AMIA 2020 - [c9]Fuchiang (Rich) Tsui, Lingyun Shi, Victor M. Ruiz, Fan Mi, Michael Goldsmith, Maryam Y. Naim, Jorge A. Gálvez, Allan F. Simpao:
Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children's hospital. AMIA 2020 - [c8]Gang Ma, Lingyun Shi, Zhitao Guan:
Adversarial Text Generation via Probability Determined Word Saliency. ML4CS (2) 2020: 562-571 - [c7]Xianwen Sun, Lingyun Shi, Longfei Wu, Zhitao Guan, Xiaojiang Du, Mohsen Guizani:
A Differentially Private Classification Algorithm With High Utility for Wireless Body Area Networks. WCNC 2020: 1-6
2010 – 2019
- 2019
- [j1]Xin Lu, Lingyun Shi, Zhenyu Chen, Xunfeng Fan, Zhitao Guan, Xiaojiang Du, Mohsen Guizani:
Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach. IEEE Access 7: 173817-173826 (2019) - [c6]Rich Tsui, Luge Yang, Lingyun Shi, Lezhou Wu:
A Data-Driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records. AMIA 2019 - 2018
- [c5]José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui:
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA 2018 - 2017
- [c4]Amie D. Barda, Lingyun Shi, Andrew H. Urbach, Srinivasan Suresh, Rich Tsui:
Usability and Acceptability of a System to Identify Pediatric Patients at Risk of 30-day Hospital Readmission Prior to Discharge. AMIA 2017 - [c3]Fu-Chiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Uktars Jain:
Detection of Adverse Drug Reaction from Twitter Data. SMM4H@AMIA 2017: 64-67 - [c2]Luge Yang, José D. Posada, Hoah-Der Su, Lingyun Shi, Mi Fan, Rich Tsui:
Using Logistic Regression to Verify Completeness of Electronic Health Records for Infant Mortality Analysis. AMIA 2017 - 2016
- [c1]José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui:
Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions. AMIA 2016
Coauthor Index
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last updated on 2024-08-03 20:11 CEST by the dblp team
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