Richard A. Moffitt

According to our database, Richard A. Moffitt authored at least 23 papers between 2007 and 2023.

Collaborative distances:

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

2023

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository.

Emily R. Pfaff, Andrew T. Girvin, Miles Crosskey, Srushti Gangireddy, Hiral Master, Wei-Qi Wei, Vern Eric Kerchberger, Mark G. Weiner, Paul A. Harris, Melissa A. Basford, Christopher Lunt, Christopher G. Chute, Richard A. Moffitt, Melissa A. Haendel

J. Am. Medical Informatics Assoc., June, 2023

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

J. Biomed. Informatics, March, 2023

Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.

Peter Leese, Adit Anand, Andrew T. Girvin, Amin Manna, Saaya Patel, Yun Jae Yoo, Rachel Wong, Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, Janos G. Hajagos, Emily R. Pfaff, Richard A. Moffitt

J. Am. Medical Informatics Assoc., 2023

2022

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).

Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch

J. Am. Medical Informatics Assoc., 2022

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.

Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai

J. Am. Medical Informatics Assoc., 2022

Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

Katie R. Bradwell, Jacob T. Wooldridge, Benjamin R. C. Amor, Tellen D. Bennett, Adit Anand, Carolyn Bremer, Yun Jae Yoo, Zhenglong Qian, Steven G. Johnson, Emily R. Pfaff, Andrew T. Girvin, Amin Manna, Emily Niehaus, Stephanie S. Hong, Xiaohan Tanner Zhang, Richard L. Zhu, Mark Bissell, Nabeel Qureshi, Joel H. Saltz, Melissa A. Haendel, Christopher G. Chute, Harold P. Lehmann, Richard A. Moffitt

J. Am. Medical Informatics Assoc., 2022

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative.

Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

CoRR, 2022

PLCOjs, a FAIR GWAS web SDK for the NCI Prostate, Lung, Colorectal and Ovarian Cancer Genetic Atlas project.

Eric Ruan, Erika Nemeth, Richard A. Moffitt, Lorena Sandoval, Mitchell J. Machiela, Neal D. Freedman, Wen-Yi Huang, Wendy Wong, Kai-Ling Chen, Brian Park, Kevin Jiang, Belynda Hicks, Jia Liu, Daniel E. Russ, Lori M. Minasian, Paul F. Pinsky, Stephen J. Chanock, Montserrat Garcia-Closas, Jonas S. Almeida

Bioinform., 2022

Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma.

Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Harmonizing Units and Quantitative Values in a Nationally-Pooled Electronic Health Record Dataset.

Katie R. Bradwell, Richard A. Moffitt

Proceedings of the AMIA 2022, 2022

2020

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation.

Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz

Proceedings of the Artificial Intelligence in Medicine, 2020

2018

Disease phenotyping using deep learning: A diabetes case study.

Sina Rashidian, Janos G. Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi R. Gupta, Mathew Tharakan, Veena Lingam, Joel H. Saltz, Mary M. Saltz

CoRR, 2018

2012

Feasibility of multiplex quantum dot stain using primary antibodies from four distinct host animals.

Jonathan K. Tran, Elena N. Hubbard, Todd H. Stokes, Richard A. Moffitt, May D. Wang

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Adaptive Control Model Reveals Systematic Feedback and Key Molecules in Metabolic Pathway Regulation.

Chang F. Quo, Richard A. Moffitt, Alfred H. Merrill Jr., May D. Wang

J. Comput. Biol., 2011

caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts.

Richard A. Moffitt, Qiqin Yin-Goen, Todd H. Stokes, R. Mitchell Parry, James H. Torrance, John H. Phan, Andrew N. Young, May D. Wang

BMC Bioinform., 2011

An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification.

S. Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic batch-invariant color segmentation of histological cancer images.

Sonal Kothari, John H. Phan, Richard A. Moffitt, Todd H. Stokes, Shelby E. Hassberger, Qaiser Chaudry, Andrew N. Young, May D. Wang

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

SecureMed-ID: memorable and private identifiers for off-site access to medical records.

Todd H. Stokes, Richard A. Moffitt, May D. Wang

Proceedings of the ACM International Conference on Bioinformatics, 2011

2008

Improving Microarray Sample Size Using Bootstrap Data Combination.

John H. Phan, Richard A. Moffitt, Andrea B. Barrett, May D. Wang

Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008

Matrix factorization techniques for analysis of imaging mass spectrometry data.

Peter W. Siy, Richard A. Moffitt, R. Mitchell Parry, Yanfeng Chen, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, May D. Wang

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

Computer Aided Histopathological Classification of Cancer Subtypes.

Sohaib Waheed, Richard A. Moffitt, Qaiser Chaudry, Andrew N. Young, May D. Wang

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Evolving Biological Behavior in Gene-Based Cellular Simulations.

John H. Phan, Richard A. Moffitt, Todd H. Stokes, May D. Wang

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Multivariate Analysis of Imaging Mass Spectrometry Data.

E. R. Muir, I. J. Ndiour, N. A. LeGoasduff, Richard A. Moffitt, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, Yanfeng Chen, May D. Wang

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007