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Dr. Song’s research interests lie in biomedical informatics, machine learning and statistical learning algorithms, data mining and knowledge discovery. Her long-term research goal is to use novel computational algorithms to discover clinically meaningful knowledge from integrated healthcare databases and apply that knowledge to understand and ...
- Xing Song – MU Institute for Data Science and Informatics
As a Research Assistant Professor starting May 2019, I...
- Xing Song, PhD Publications - MU School of Medicine
Longitudinal risk prediction of chronic kidney disease in...
- Xing Song – MU Institute for Data Science and Informatics
Robust clinical marker identification for diabetic kidney disease with ensemble feature selection. X Song, LR Waitman, Y Hu, ASL Yu, D Robins, M Liu. Journal of the American Medical Informatics...
Xing Song. Memorial University of Newfoundland. Verified email at mun.ca. Articles 1–20. Memorial University of Newfoundland - Cited by 440.
Xing SONG | Cited by 163 | of University of Missouri - Kansas City, Kansas City (UMKC) | Read 16 publications | Contact Xing SONG.
Mar 17, 2021 · As a Research Assistant Professor starting May 2019, I leveraged the KUMC clinical data infrastructure for research as well as providing informatics support for the PCORnet Greater Plains Collaborative (GPC), especially leading the GPC Reusable Observable Unified Study Environment (GROUSE) project.
Assistant Professor. xsm7f@ health.missouri.edu. University of Missouri – Columbia (MU) My research interests are in biomedical informatics, machine learning and statistical learning algorithms, data mining and knowledge discovery.
Longitudinal risk prediction of chronic kidney disease in diabetic patients using temporal-enhanced gradient boosting machine: retrospective cohort study. JMIR Medical Informatics. 2020. 8(1):e15510. X. Song, L.R. Waitman, Y. Hu, M. Liu.
