Nathanael Fillmore

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 9

Top Topics

Healthcare Providers

Machine Learning

Clonal Selection

Multimodal Function Optimization

Top Venues

Publications

Austin D. Vo, Danne C. Elbers, Theodore C. Feldman, Paul Marcantonio, Anahit Aleksanyan, Nhan Vo, Feng-Chi Sung, Svitlana Dipietro, Arkadiy Dolgin, Rupali Dhond, Mary Brophy, Nathanael Fillmore, David Kaplan, Nhan V. Do
Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT). AMIA (2022)
Theodore C. Feldman, Nathanael Fillmore, Nhan V. Do, Mary Brophy, David Kaplan, Albert Lin
Phenotyping Hepatic Immune-Related Adverse Events After Immune Checkpoint Inhibitor Therapy. AMIA (2022)
Theodore C. Feldman, Nathanael Fillmore, Sandy Chon, Shahin Assefnia, David Loose, Gisele Sarosy, Jennifer La, David Cheng, Frank Meng, Danielle Valley, Robert B. Hall, Paul Corcoran, Robert Zwolinski, Danne C. Elbers, Mary T. Brophy, Nhan V. Do
Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E). AMIA (2020)
Nathanael Fillmore, Nhan V. Do, Mary Brophy, Andrew J. Zimolzak
Interactive Machine Learning for Laboratory Data Integration. MedInfo (2019)
Nathanael Fillmore, Sergey Goryachev, Jeremy Weiss
Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data. AMIA (2019)
Nhan V. Do, J. J. Bono, Nathanael Fillmore, Andrew J. Zimolzak, Brett R. Johnson, Frank Meng, Danne C. Elbers, Robert B. Hall, Samuel Ajjarapu, Mary T. Brophy, Peter L. Elkin
Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework. AMIA (2018)
Nathanael Fillmore, Ansh Mehta, Jeremy Weiss
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning. AIH@IJCAI (2018)
Danne C. Elbers, Frank Meng, Scott Doyle, Sylvester Sakilay, Sung Feng-Chi, Brett R. Johnson, Robert B. Hall, Nathanael Fillmore, Daniel Chen, Alexander D. Diehl, Samuel Ajjarapu, Karen E. Pierce-Murray, Corri DeDomenico, Colleen Shannon, Sara Schiller, Nhan V. Do, Peter L. Elkin, Louis D. Fiore, Mary T. Brophy
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System. AMIA (2018)
Nhan V. Do, Karen E. Pierce-Murray, Edmund C. Peirce, Corri DeDomenico, Frank Meng, Danne C. Elbers, Beth Katcher, Robert B. Hall, Andrew J. Zimolzak, Samuel Ajjarapu, Colleen Shannon, Sara Turek, Brett R. Johnson, Nathanael Fillmore, Mary Brophy, Louis D. Fiore
The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System. AMIA (2017)
Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore
Learning from Spatial Overlap. AAAI (2011)
Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore
Comparing Clusterings in Space. ICML (2010)
Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu
May All Your Wishes Come True: A Study of Wishes and How to Recognize Them. HLT-NAACL (2009)