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ORCIDAlistair E. W. Johnson
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2020 – today
- 2024
[j9]Jethro C. C. Kwong
, Jeremy Wu, Shamir Malik, Adree Khondker, Naveen Gupta, Nicole Bodnariuc, Krishnateja Narayana, Mikail Malik, Theodorus H. van der Kwast, Alistair E. W. Johnson, Alexandre R. Zlotta, Girish S. Kulkarni:
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. npj Digit. Medicine 7(1) (2024)- [i6]Justin Xu, Jack Gallifant, Alistair E. W. Johnson, Matthew B. A. McDermott:
ACES: Automatic Cohort Extraction System for Event-Stream Datasets. CoRR abs/2406.19653 (2024) - 2023
- [j8]Alex M. Bennett, Hannes Ulrich, Philip van Damme, Joshua Wiedekopf, Alistair E. W. Johnson:
MIMIC-IV on FHIR: converting a decade of in-patient data into an exchangeable, interoperable format. J. Am. Medical Informatics Assoc. 30(4): 718-725 (2023) - [c18]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CHIL 2023: 578-597 - [i5]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CoRR abs/2302.08091 (2023) - 2022
- [j7]Yujie Chen, Min Xi, Alistair E. W. Johnson, George Tomlinson, Aaron Campigotto, Lingxiao Chen, Lillian Sung:
Machine learning approaches to investigate Clostridioides difficile infection and outcomes: A systematic review. Int. J. Medical Informatics 160: 104706 (2022) - 2021
- [j6]Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. npj Digit. Medicine 4 (2021) - [c17]Alistair E. W. Johnson:
Building the Foundation of Medical Knowledge Generation. ICHI 2021: 1 - 2020
- [c16]Alistair E. W. Johnson, Lucas Bulgarelli, Tom J. Pollard:
Deidentification of free-text medical records using pre-trained bidirectional transformers. CHIL 2020: 214-221
2010 – 2019
- 2019
- [j5]Rodrigo Octávio Deliberato, Guilherme Goto Escudero, Lucas Bulgarelli, Ary Serpa Neto, Stephanie Q. Ko, Niklas Soderberg Campos, Berke Saat, Edson Amaro Júnior, Fabio Silva Lopes, Alistair E. W. Johnson:
SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries. Int. J. Medical Informatics 131 (2019) - [i4]Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng:
MIMIC-CXR: A large publicly available database of labeled chest radiographs. CoRR abs/1901.07042 (2019) - 2018
- [j4]Alistair E. W. Johnson, David J. Stone, Leo A. Celi, Tom J. Pollard:
The MIMIC Code Repository: enabling reproducibility in critical care research. J. Am. Medical Informatics Assoc. 25(1): 32-39 (2018) - [c15]Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman, Matthieu Komorowski, Jerome Aboab, Fengyi Tang, Zach Shahn, Daby Sow, Roger G. Mark, Li-Wei H. Lehman:
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. ICHI 2018: 144-151 - [i3]Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann:
Generalizability of predictive models for intensive care unit patients. CoRR abs/1812.02275 (2018) - 2017
- [j3]Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton:
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. 64(8): 1914-1923 (2017) - [c14]Alistair E. W. Johnson, Roger G. Mark:
Real-time Mortality Prediction in the Intensive Care Unit. AMIA 2017 - [c13]Alistair E. W. Johnson, Tom J. Pollard, Leo A. Celi, Roger G. Mark:
Analyzing the eICU Collaborative Research Database. BCB 2017: 631 - [c12]Aaron Zalewski, William J. Long, Alistair E. W. Johnson, Roger G. Mark, Li-Wei H. Lehman:
Estimating patient's health state using latent structure inferred from clinical time series and text. BHI 2017: 449-452 - [c11]Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark:
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. CinC 2017 - [c10]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC 2017: 322-337 - [c9]Alistair E. W. Johnson, Tom J. Pollard, Roger G. Mark:
Reproducibility in critical care: a mortality prediction case study. MLHC 2017: 361-376 - [i2]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR abs/1705.08498 (2017) - [i1]Andrea S. Li, Alistair E. W. Johnson, Roger G. Mark:
False arrhythmia alarm reduction in the intensive care unit. CoRR abs/1709.03562 (2017) - 2016
- [j2]Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford:
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104(2): 444-466 (2016) - [c8]Mohammad Adibuzzaman, Ken Musselman, Alistair E. W. Johnson, Paul Brown, Zachary Pitluk Pitluk, Ananth Grama:
Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database. CinC 2016 - [c7]Gari D. Clifford, Chengyu Liu, David B. Springer, Benjamin Moody, Qiao Li, Ricardo C. Abad, José Millet, Ikaro Silva, Alistair E. W. Johnson, Roger G. Mark:
Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016. CinC 2016 - 2015
- [j1]Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford:
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. 62(9): 2125-2134 (2015) - 2014
- [c6]Alistair E. W. Johnson, Andrew A. Kramer, Gari D. Clifford:
Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited. CinC 2014: 157-160 - [c5]Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster:
R- Peak Estimation using Multimodal Lead Switching. CinC 2014: 281-284 - [c4]Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko:
Physiological trajectory of patients pre and post ICU discharge1. EMBC 2014: 3160-3163 - 2013
- [c3]Tingting Zhu, Alistair E. W. Johnson, Joachim Behar, Gari D. Clifford:
Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. CinC 2013: 659-662 - [c2]Alistair E. W. Johnson, Sharath Choletti, Timothy G. Buchman, Gari D. Clifford:
Improved Respiration Rate Estimation using a Kalman filter and Wavelet Cross-Coherence. CinC 2013: 791-794 - [c1]Roberta Colloca, Alistair E. W. Johnson, Luca T. Mainardi, Gari D. Clifford:
A Support Vector Machine Approach for Reliable Detection of Atrial Fibrillation Events. CinC 2013: 1047-1050
Coauthor Index
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