Early prediction of diabetes complications from electronic health records: A multi-task survival analysis approach
- Bin Liu
- Ying Li
- et al.
- 2018
- AAAI 2018
Publications
This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Year
10 results for Ying Li
An MCEM framework for drug safety signal detection and combination from heterogeneous real world evidence
- Cao Xiao
- Ying Li
- et al.
- 2018
- Scientific Reports
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach
- Bin Liu
- Ying Li
- et al.
- 2020
- IEEE TKDE
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems
- Ying Li
- Ping Zhang
- et al.
- 2016
- AMIA Annual Symposium
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning
- Bin Liu
- Ying Li
- et al.
- 2020
- Big Data 2020
Exploiting electronic health records to mine drug effects on laboratory test results
- Mohamed Ghalwash
- Ying Li
- et al.
- 2017
- CIKM 2017
Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions
- Ying Li
- Antonio Jimeno-Yepes
- et al.
- 2020
- Drug Safety
A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design
- Amrita Mohan
- Zhaonan Sun
- et al.
- 2021
- Movement Disorders
A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data
- Zhaonan Sun
- Soumya Ghosh
- et al.
- 2019
- JAMIA Open
Systematic analysis of drug combinations that mitigate adverse drug reactions
- Jaehee Shim
- Heng Luo
- et al.
- 2018
- IBM J. Res. Dev