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Journal Articles
- 2022
[j5]Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi
, Jason H. Moore:
Benchmarking AutoML frameworks for disease prediction using medical claims. BioData Min. 15(1) (2022)- [j4]Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Martijn J. Schuemie, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen:
dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling. J. Am. Medical Informatics Assoc. 29(8): 1366-1371 (2022) - [j3]Mackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian, Yong Chen:
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. J. Biomed. Informatics 131: 104097 (2022) - [j2]Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen:
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. npj Digit. Medicine 5 (2022) - 2014
- [j1]Natalie E. Sheils, Bernard Deconinck:
Heat conduction on the ring: Interface problems with periodic boundary conditions. Appl. Math. Lett. 37: 107-111 (2014)
Informal and Other Publications
- 2021
- [i2]Alix Jean Santos, Xavier Eugenio Asuncion, Camille Rivero-Co, Maria Eloisa Ventura, Reynaldo Geronia II, Lauren Bangerter, Natalie E. Sheils:
Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure. CoRR abs/2103.09574 (2021) - [i1]Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore:
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims. CoRR abs/2107.10495 (2021)
Coauthor Index
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