Ying Li

Orcid: 0000-0002-2813-9480

Affiliations:
  • Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA
  • IBM Thomas J. Watson Research Center, Center for Computational Health, Yorktown Heights, NY, USA (former)
  • Columbia University, USA (PhD)


According to our database1, Ying Li authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.
ACM Trans. Inf. Syst., October, 2023

2021
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
CoRR, 2021

2020
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach.
IEEE Trans. Knowl. Data Eng., 2020

Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology.
Proceedings of the AMIA 2020, 2020

2018
Systematic analysis of drug combinations that mitigate adverse drug reactions.
IBM J. Res. Dev., 2018

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.
CoRR, 2018

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving predictive models with clustered sequences: An Application on Heart Failure Risk Prediction.
Proceedings of the Summit on Clinical Research Informatics, 2017

Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.
Proceedings of the AMIA 2016, 2016


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