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Jimeng Sun

Showing results (91-100 of 122) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Combining knowledge and data driven insights for identifying risk factors using electronic health recordsJimeng Sun, Jianying Hu, Dijun Luo, et al.
IEEE Transactions on Visualization and Computer Graphics|August 24, 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical RecordsBum Chul Kwon, Min-Je Choi, Joanne Taery Kim, et al.
Nature Chemical Biology|September 21, 2022
Artificial intelligence foundation for therapeutic scienceKexin Huang, Tianfan Fu, Wenhao Gao, et al.
Sleep|August 19, 2024
What radio waves tell us about sleep!Hao He, Chao Li, Wolfgang Ganglberger, et al.
IJCAI : Proceedings of the Conference|April 18, 2025
Recent Advances in Predictive Modeling with Electronic Health RecordsJiaqi Wang, Junyu Luo, Muchao Ye, et al.
Epilepsy & Behavior : E&B|November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims dataSungtae An, Kunal Malhotra, Cynthia Dilley, et al.
Arxiv|August 14, 2023
Matching Patients to Clinical Trials with Large Language ModelsQiao Jin, Zifeng Wang, Charalampos S Floudas, et al.
BMC Plant Biology|January 30, 2026
Study on the positive regulation of drought tolerance by PdMYB2R032 based on R2R3-MYB gene family analysis in Populus deltoidesXueli Zhang, Ying Chen, Sheng Zhu, et al.
Journal of Biomedical Informatics|April 6, 2015
Building bridges across electronic health record systems through inferred phenotypic topicsYou Chen, Joydeep Ghosh, Cosmin Adrian Bejan, et al.
Kidney International Reports|March 20, 2023
Predicting Kidney Transplant Recipient Cohorts' 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record DataMichael Arenson, Julien Hogan, Liyan Xu, et al.
Pageof 13

Showing results (91-100 of 122) with videos related to

Sort By:
Pageof 13
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Combining knowledge and data driven insights for identifying risk factors using electronic health recordsJimeng Sun, Jianying Hu, Dijun Luo, et al.
IEEE Transactions on Visualization and Computer Graphics|August 24, 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical RecordsBum Chul Kwon, Min-Je Choi, Joanne Taery Kim, et al.
Nature Chemical Biology|September 21, 2022
Artificial intelligence foundation for therapeutic scienceKexin Huang, Tianfan Fu, Wenhao Gao, et al.
Sleep|August 19, 2024
What radio waves tell us about sleep!Hao He, Chao Li, Wolfgang Ganglberger, et al.
IJCAI : Proceedings of the Conference|April 18, 2025
Recent Advances in Predictive Modeling with Electronic Health RecordsJiaqi Wang, Junyu Luo, Muchao Ye, et al.
Epilepsy & Behavior : E&B|November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims dataSungtae An, Kunal Malhotra, Cynthia Dilley, et al.
Arxiv|August 14, 2023
Matching Patients to Clinical Trials with Large Language ModelsQiao Jin, Zifeng Wang, Charalampos S Floudas, et al.
BMC Plant Biology|January 30, 2026
Study on the positive regulation of drought tolerance by PdMYB2R032 based on R2R3-MYB gene family analysis in Populus deltoidesXueli Zhang, Ying Chen, Sheng Zhu, et al.
Journal of Biomedical Informatics|April 6, 2015
Building bridges across electronic health record systems through inferred phenotypic topicsYou Chen, Joydeep Ghosh, Cosmin Adrian Bejan, et al.
Kidney International Reports|March 20, 2023
Predicting Kidney Transplant Recipient Cohorts' 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record DataMichael Arenson, Julien Hogan, Liyan Xu, et al.
Pageof 13