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Alistair 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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last updated on 2024-07-25 20:22 CEST by the dblp team
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