Lingyun Shi

According to our database, Lingyun Shi authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms.

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

IEEE J. Biomed. Health Informatics, October, 2023

Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition.

Russell Richie, Victor M. Ruiz, Sifei Han, Lingyun Shi, Fuchiang (Rich) Tsui

J. Am. Medical Informatics Assoc., July, 2023

Influence of Chest Compression on Amplitude Spectrum Area for the Prediction of the Return of Spontaneous Circulation in a Pediatric Swine Model.

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

Proceedings of the Computing in Cardiology, 2023

A 7W, 2.5-5GHz Wideband GaN PA with Transformer-Based Matching Network.

Xiaohan Zhang, Tao Wang, Lingyun Shi, Di Hua, Zhiliang Hong

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.

Sifei Han, Robert F. Zhang, Lingyun Shi, Russell Richie, Haixia Liu, Andrew Tseng, Wei Quan, Neal Ryan, David Brent, Fu-Chiang Tsui

J. Biomed. Informatics, 2022

Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring.

Sifei Han, Lingyun Shi, Russell Richie, Fuchiang R. Tsui

Inf. Sci., 2022

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.

Fuchiang (Rich) Tsui, Victor Ruiz, Sachin Grover, Lingyun Shi, Allan F. Simpao, Michael Goldstein

Proceedings of the AMIA 2022, 2022

2021

Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records.

Lingyun Shi, Naveen Muthu, Gerald P. Shaeffer, Yujie Sun, Victor M. Ruiz Herrera, Fuchiang R. Tsui

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

A differentially private greedy decision forest classification algorithm with high utility.

Zhitao Guan, Xianwen Sun, Lingyun Shi, Longfei Wu, Xiaojiang Du

Comput. Secur., 2020

A Differentially Private Classification Algorithm With High Utility for Wireless Body Area Networks.

Xianwen Sun, Lingyun Shi, Longfei Wu, Zhitao Guan, Xiaojiang Du, Mohsen Guizani

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Adversarial Text Generation via Probability Determined Word Saliency.

Gang Ma, Lingyun Shi, Zhitao Guan

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children's hospital.

Fuchiang (Rich) Tsui, Lingyun Shi, Victor M. Ruiz, Fan Mi, Michael Goldsmith, Maryam Y. Naim, Jorge A. Gálvez, Allan F. Simpao

Proceedings of the AMIA 2020, 2020

Automated Diagnosis Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks.

Edidiong Okon, Lingyun Shi, Rich Tsui

Proceedings of the AMIA 2020, 2020

2019

Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach.

Xin Lu, Lingyun Shi, Zhenyu Chen, Xunfeng Fan, Zhitao Guan, Xiaojiang Du, Mohsen Guizani

IEEE Access, 2019

A Data-Driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records.

Rich Tsui, Luge Yang, Lingyun Shi, Lezhou Wu

Proceedings of the AMIA 2019, 2019

2018

Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning.

José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui

Proceedings of the AMIA 2018, 2018

2017

Using Logistic Regression to Verify Completeness of Electronic Health Records for Infant Mortality Analysis.

Luge Yang, José D. Posada, Hoah-Der Su, Lingyun Shi, Mi Fan, Rich Tsui

Proceedings of the AMIA 2017, 2017

Detection of Adverse Drug Reaction from Twitter Data.

Fu-Chiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Uktars Jain

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

Usability and Acceptability of a System to Identify Pediatric Patients at Risk of 30-day Hospital Readmission Prior to Discharge.

Amie D. Barda, Lingyun Shi, Andrew H. Urbach, Srinivasan Suresh, Rich Tsui

Proceedings of the AMIA 2017, 2017

2016

Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions.

José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui

Proceedings of the AMIA 2016, 2016