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2020 – today
- 2024
[c16]Lisiane Pruinelli
, Minh Nguyen, Nicholas Stalter, Steven G. Johnson, György J. Simon, Stuart M. Speedie, Sisi Ma:
The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. Nursing Informatics 2024: 279-283- 2023
- [j22]Ann M. Wieben, Rachel Lane Walden, Bader G. Alreshidi, Sophia F. Brown, Kenrick Cato, Cynthia Peltier Coviak, Christopher Cruz, Fabio D'Agostino, Brian J. Douthit, Thompson H. Forbes, Grace Gao, Steven G. Johnson, Mikyoung Angela Lee, Margaret Mullen-Fortino, Jung In Park, Suhyun Park, Lisiane Pruinelli, Anita Reger, Jethrone Role, Marisa Sileo, Mary Anne Schultz, Pankaj Vyas, Alvin D. Jeffery:
Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Appl. Clin. Inform. 14(3): 585-593 (2023) - [j21]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:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - [j20]Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. 5(12): 1458-1465 (2023) - [c15]Piper Ranallo, Bronwyn Southwell, Christopher J. Tignanelli, Steven G. Johnson, Richard Krueger, Tess Sevareid-Groth, Adam Carvel, Genevieve B. Melton:
Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes. MedInfo 2023: 68-73 - 2022
- [j19]Sean Mann, Eric Fadel, Samuel S. Schoenholz, Ekin D. Cubuk, Steven G. Johnson, Giuseppe Romano:
∂PV: An end-to-end differentiable solar-cell simulator. Comput. Phys. Commun. 272: 108232 (2022) - [j18]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:
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29(4): 609-618 (2022) - [j17]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:
Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. J. Am. Medical Informatics Assoc. 29(7): 1172-1182 (2022) - [i12]Lu Lu, Raphaël Pestourie, Steven G. Johnson, Giuseppe Romano:
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. CoRR abs/2204.06684 (2022) - [i11]Chris Munley, Wenchao Ma, Johannes E. Fröch, Quentin A. A. Tanguy, Elyas Bayati, Karl F. Böhringer, Zin Lin, Raphaël Pestourie, Steven G. Johnson, Arka Majumdar:
Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception. CoRR abs/2204.13520 (2022) - [i10]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:
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. CoRR abs/2206.06444 (2022) - 2021
- [j16]Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson:
Physics-Informed Neural Networks with Hard Constraints for Inverse Design. SIAM J. Sci. Comput. 43(6): B1105-B1132 (2021) - [i9]Guanpeng Xu, Steven G. Johnson:
Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums. CoRR abs/2101.01655 (2021) - [i8]Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson:
Physics-informed neural networks with hard constraints for inverse design. CoRR abs/2102.04626 (2021) - [i7]Steven G. Johnson:
Notes on Perfectly Matched Layers (PMLs). CoRR abs/2108.05348 (2021) - [i6]Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for PDEs. CoRR abs/2111.05841 (2021) - 2020
- [j15]Bonnie L. Westra, Kay Lytle, LuAnn Whittenburg, Mischa Adams, Samira Ali, Meg Furukawa, Stephanie Hartleben, Mary L. Hook, Steven G. Johnson, Sarah Collins Rossetti, Theresa (Tess) Settergren:
A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case. J. Am. Medical Informatics Assoc. 27(11): 1732-1740 (2020) - [i5]Ardavan F. Oskooi, Christopher Hogan, Alec M. Hammond, M. T. Homer Reid, Steven G. Johnson:
Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations. CoRR abs/2003.04287 (2020) - [i4]Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson:
Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR abs/2008.12649 (2020)
2010 – 2019
- 2019
- [c14]Steven G. Johnson, Lisiane Pruinelli, Bonnie L. Westra:
Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering. AMIA 2019 - [c13]Kay Lytle, Bonnie L. Westra, Mary L. Hook, Mischa Adams, Samira Ali, Meg Furukawa, Steven G. Johnson, Tari Rajchel, Sarah Collins Rossetti, Theresa (Tess) Settergren, LuAnn Whittenburg:
Analyzing Flowsheet Data to Refine and Validate Information Models. AMIA 2019 - [i3]Steven G. Johnson:
Accurate solar-power integration: Solar-weighted Gaussian quadrature. CoRR abs/1912.06870 (2019) - 2018
- [j14]Bonnie L. Westra, Steven G. Johnson, Samira Ali, Karen Bavuso, Christopher Cruz, Sarah Collins, Meg Furukawa, Mary L. Hook, Anne LaFlamme, Kay Lytle, Lisiane Pruinelli, Tari Rajchel, Theresa (Tess) Settergren, Kathryn Westman, LuAnn Whittenburg:
Validation and Refinement of a Pain Information Model from EHR Flowsheet Data. Appl. Clin. Inform. 09(01): 185-198 (2018) - [c12]Lisiane Pruinelli, Sisi Ma, Bonnie L. Westra, Steven G. Johnson, Susan O'Conner-Von, Stuart M. Speedie:
Multiple Factors Drive Opioid Prescribing at the Time of Discharge. AMIA 2018 - 2017
- [j13]Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra:
Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. 08(04): 1012-1021 (2017) - [c11]Steven G. Johnson, Lisiane Pruinelli, Beverly Christie, Connie White-Delaney, Grace Gao, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Bonnie L. Westra:
FloMap: A Collaborative Tool for Mapping Local EHR Flowsheet Data to Information Models. CRI 2017 - 2016
- [j12]Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson:
Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. 07(01): 69-88 (2016) - [c10]Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra:
Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA 2016 - [c9]Bonnie L. Westra, Beverly Christie, Matthew D. Byrne, Anne LaFlamme, Grace Gao, Steven G. Johnson, Jung In Park, Lisiane Pruinelli, Piper Ranallo, Connie White-Delaney, Stuart M. Speedie:
Modeling Flowsheet Data for Secondary Use. AMIA 2016 - [c8]Piper Ranallo, Beverly Christie, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Matthew D. Byrne, Stuart M. Speedie, Bonnie L. Westra:
Pooling Mental Health Data Collected in EHRs: A Methodology for Developing an an RDoc-Based Research Repository. CRI 2016 - [c7]Bonnie L. Westra, Beverly Christie, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Piper Ranallo, Matthew D. Byrne, Stuart M. Speedie:
Expanding Interprofessional EHR Data in i2b2. CRI 2016 - 2015
- [c6]Matthew D. Byrne, Steven G. Johnson, Beverly Christie, Jung In Park, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra:
Musculoskeletal Flowsheet Data Modeling for Clinical Research. AMIA 2015 - [c5]Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra:
A Data Quality Ontology for the Secondary Use of EHR Data. AMIA 2015 - 2014
- [c4]Steven G. Johnson, Jung In Park, Matthew D. Byrne, Beverly Christie, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra:
Semi-Automated Method to Extract Semantic Information from EHR Flowsheet Data for Pressure Ulcer Research. AMIA 2014 - [c3]Jung In Park, Steven G. Johnson, Matthew D. Byrne, Beverly Christie, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra:
Clinical Data Modeling EHR Data for Understanding Factors Related to Hospital-acquired Catheter-Associated Urinary Tract Infection (CAUTI). AMIA 2014 - 2013
- [j11]M. T. Homer Reid, Alejandro W. Rodriguez, Steven G. Johnson:
Fluctuation-Induced Phenomena in Nanoscale Systems: Harnessing the Power of Noise. Proc. IEEE 101(2): 531-545 (2013) - [c2]Steven G. Johnson, Matthew D. Byrne, Beverly Christie, Justin Dale, Supreet B. Kathpalia, Emily Melcher, Tim Meyer, Jung In Park, Suzan Sherman, Bonnie L. Westra:
CTSI Pilot: Evaluating EHR Flowsheet Data Quality for Secondary Use in Research. AMIA 2013 - 2011
- [j10]Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Steven G. Johnson, Peter Bienstman, Wim Bogaerts:
Python Bindings for the Open Source Electromagnetic Simulator Meep. Comput. Sci. Eng. 13(3): 53-65 (2011) - [j9]Ardavan F. Oskooi, Steven G. Johnson:
Distinguishing correct from incorrect PML proposals and a corrected unsplit PML for anisotropic, dispersive media. J. Comput. Phys. 230(7): 2369-2377 (2011) - 2010
- [j8]Ardavan F. Oskooi, David Roundy, Mihai Ibanescu, Peter Bermel, John D. Joannopoulos, Steven G. Johnson:
Meep: A flexible free-software package for electromagnetic simulations by the FDTD method. Comput. Phys. Commun. 181(3): 687-702 (2010)
2000 – 2009
- 2008
- [j7]Xuancheng Shao, Steven G. Johnson:
Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations. Signal Process. 88(6): 1313-1326 (2008) - [j6]Xuancheng Shao, Steven G. Johnson:
Type-II/III DCT/DST algorithms with reduced number of arithmetic operations. Signal Process. 88(6): 1553-1564 (2008) - 2007
- [j5]Steven G. Johnson, Matteo Frigo:
A Modified Split-Radix FFT With Fewer Arithmetic Operations. IEEE Trans. Signal Process. 55(1): 111-119 (2007) - [j4]Matteo Frigo, Steven G. Johnson:
Comments on "Split Manageable Efficient Algorithm for Fourier and Hadamard Transforms". IEEE Trans. Signal Process. 55(4): 1547-1548 (2007) - [i2]Xuancheng Shao, Steven G. Johnson:
Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations. CoRR abs/0708.4399 (2007) - [i1]Xuancheng Shao, Steven G. Johnson:
Type-II/III DCT/DST algorithms with reduced number of arithmetic operations. CoRR abs/cs/0703150 (2007) - 2006
- [j3]Steven G. Johnson, Matteo Frigo:
Comments on "Method of flow graph simplification for the 16-point discrete Fourier Transform". IEEE Trans. Signal Process. 54(4): 1562 (2006) - 2005
- [j2]Matteo Frigo, Steven G. Johnson:
The Design and Implementation of FFTW3. Proc. IEEE 93(2): 216-231 (2005) - 2001
- [j1]Steven G. Johnson, Attila Mekis, Shanhui Fan, John D. Joannopoulos:
Molding the flow of light. Comput. Sci. Eng. 3(6): 38-47 (2001)
1990 – 1999
- 1998
- [c1]Matteo Frigo, Steven G. Johnson:
FFTW: an adaptive software architecture for the FFT. ICASSP 1998: 1381-1384
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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