Leo A. Celi
Orcid: 0000-0001-6712-6626
According to our database1,
Leo A. Celi
authored at least 95 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
Int. J. Medical Informatics, February, 2024
Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis.
Int. J. Medical Informatics, January, 2024
CoRR, 2024
DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries.
CoRR, 2024
2023
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning.
Artif. Intell. Medicine, December, 2023
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study.
Int. J. Medical Informatics, October, 2023
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.
Artif. Intell. Medicine, October, 2023
Nat. Mac. Intell., February, 2023
CoRR, 2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors.
CoRR, 2023
CoRR, 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
CoRR, 2023
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review.
CoRR, 2023
CoRR, 2023
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
An interpretable RL framework for pre-deployment modeling in ICU hypotension management.
npj Digit. Medicine, 2022
Effectiveness of automated alerting system compared to usual care for the management of sepsis.
npj Digit. Medicine, 2022
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.
npj Digit. Medicine, 2022
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study.
J. Digit. Imaging, 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies.
CoRR, 2022
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event.
CoRR, 2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Conference on Health, Inference, and Learning, 2022
Proceedings of the AMIA 2022, 2022
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
2021
npj Digit. Medicine, 2021
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
npj Digit. Medicine, 2021
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
npj Digit. Medicine, 2021
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study.
CoRR, 2021
Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability.
CoRR, 2021
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021
2020
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets.
npj Digit. Medicine, 2020
npj Digit. Medicine, 2020
CoRR, 2020
CoRR, 2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
npj Digit. Medicine, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients.
npj Digit. Medicine, 2019
Developing well-calibrated illness severity scores for decision support in the critically ill.
npj Digit. Medicine, 2019
Migration through Machine Learning Lens - Predicting Sexual and Reproductive Health Vulnerability of Young Migrants.
CoRR, 2019
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
One-Year Mortality Prediction in ICU Patients with Diagnosis of Sepsis Driven by Population Similarities.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Identifying documented medical non-adherence from clinical notes using natural language processing.
Proceedings of the AMIA 2019, 2019
2018
J. Am. Medical Informatics Assoc., 2018
Int. J. Medical Informatics, 2018
Int. J. Medical Informatics, 2018
Hacking Hackathons: Preparing the next generation for the multidisciplinary world of healthcare technology.
Int. J. Medical Informatics, 2018
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.
CoRR, 2018
Withholding aggressive treatments may not accelerate time to death among dying ICU patients.
CoRR, 2018
CoRR, 2018
Comput. Methods Programs Biomed., 2018
Proceedings of the Machine Learning for Healthcare Conference, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.
J. Am. Medical Informatics Assoc., 2017
Proceedings of the Machine Learning for Health Care Conference, 2017
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach.
Proceedings of the Machine Learning for Health Care Conference, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2014
2013
Accessing the public MIMIC-II intensive care relational database for clinical research.
BMC Medical Informatics Decis. Mak., 2013
Int. J. Medical Informatics, 2013
2012
Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System.
J. Comput. Sci. Eng., 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Sana Mobile 2.0: Technical Architecture for an Open Source Platform for Global mHealth.
Proceedings of the AMIA 2012, 2012
2011
Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations.
Proceedings of the Wireless Mobile Communication and Healthcare, 2011
Fuzzy modeling to predict administration of vasopressors in intensive care unit patients.
Proceedings of the FUZZ-IEEE 2011, 2011
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Proceedings of the Artificial Intelligence for Development, 2010