Natalie E. Sheils

According to our database, Natalie E. Sheils authored at least 6 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.

Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen

npj Digit. Medicine, 2022

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks.

Mackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian, Yong Chen

J. Biomed. Informatics, 2022

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.

Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Martijn J. Schuemie, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2022

Benchmarking AutoML frameworks for disease prediction using medical claims.

Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore

BioData Min., 2022

2021

Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure.

Alix Jean Santos, Xavier Eugenio Asuncion, Camille Rivero-Co, Maria Eloisa Ventura, Reynaldo Geronia II, Lauren Bangerter, Natalie E. Sheils

CoRR, 2021

2014

Heat conduction on the ring: Interface problems with periodic boundary conditions.

Natalie E. Sheils, Bernard Deconinck

Appl. Math. Lett., 2014