Johnson, Alistair E. W.

MIMIC-III, a freely accessible critical care database

Johnson, A. E. W., Pollard, T. J., Shen, L., Lehman, L.-W. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Anthony Celi, L., & Mark, R. G. (2016) · Scientific Data

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 8,141

MIMIC-IV, a freely accessible electronic health record dataset

Johnson, A. E. W., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · Scientific Data

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 3,401

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

Pollard, T. J., Johnson, A. E. W., Raffa, J. D., Celi, L. A., Mark, R. G., & Badawi, O. (2018) · Scientific Data

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 1,993

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

Johnson, A. E. W., Pollard, T. J., Berkowitz, S. J., Greenbaum, N. R., Lungren, M. P., Deng, C.-Y., Mark, R. G., & Horng, S. (2019) · Scientific Data

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,816

MIMIC-IV

Johnson, A., Bulgarelli, L., Pollard, T., Gow, B., Moody, B., Horng, S., Celi, L. A., & Mark, R. (2024) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

MIMIC-IV

Johnson, A., Bulgarelli, L., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2023) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

The MIMIC Code Repository: enabling reproducibility in critical care research

Johnson, A. E. W., Stone, D. J., Celi, L. A., & Pollard, T. J. (2018) · Journal of the American Medical Informatics Association

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 442

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

Charlton, P. H., Birrenkott, D. A., Bonnici, T., Pimentel, M. A. F., Johnson, A. E. W., Alastruey, J., Tarassenko, L., Watkinson, P. J., Beale, R., & Clifton, D. A. (2018) · IEEE Reviews in Biomedical Engineering

Non-Invasive Vital Sign MonitoringECG Monitoring and Analysis

Cited by 379

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Johnson, A. E. W., Pollard, T. J., Greenbaum, N. R., Lungren, M. P., Deng, C.-Y., Peng, Y., Lu, Z., Mark, R. G., Berkowitz, S. J., & Horng, S. (2019) · arXiv

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 269

Author Correction: MIMIC-IV, a freely accessible electronic health record dataset

Johnson, A. E. W., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · Scientific Data

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 181

MIMIC-III Clinical Database

Johnson, A., Pollard, T., & Mark, R. (2015) · PhysioNet

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 165

MIMIC-IV-Note: Deidentified free-text clinical notes

Johnson, A., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2023) · PhysioNet

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 111

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

Guo, L. L., Pfohl, S. R., Fries, J., Johnson, A. E. W., Posada, J., Aftandilian, C., Shah, N., & Sung, L. (2022) · Scientific Reports

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 103

Do We Still Need Clinical Language Models?

Lehman, E., Hernandez, E., Mahajan, D., Wulff, J., Smith, M. J., Ziegler, Z., Nadler, D., Szolovits, P., Johnson, A., & Alsentzer, E. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 62

Deidentification of free-text medical records using pre-trained bidirectional transformers

Johnson, A. E. W., Bulgarelli, L., & Pollard, T. J. (2020) · Proceedings of the ACM Conference on Health, Inference, and Learning

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 55

MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset

Gow, B., Pollard, T., Nathanson, L. A., Johnson, A., Moody, B., Fernandes, C., Greenbaum, N., Waks, J. W., Eslami, P., Carbonati, T., et al. (2023) · PhysioNet

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 54

MIMIC-IV-ED

Johnson, A., Bulgarelli, L., Pollard, T., Celi, L. A., Mark, R., & Horng, S. (2023) · PhysioNet

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 50

BRAX, Brazilian labeled chest x-ray dataset

Reis, E. P., de Paiva, J. P. Q., da Silva, M. C. B., Ribeiro, G. A. S., Paiva, V. F., Bulgarelli, L., Lee, H. M. H., Santos, P. V., Brito, V. M., Amaral, L. T. W., et al. (2022) · Scientific Data

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 47

MIMIC-CXR-JPG - chest radiographs with structured labels

Johnson, A., Lungren, M., Peng, Y., Lu, Z., Mark, R., Berkowitz, S., & Horng, S. (2024) · PhysioNet

Multimodal Machine Learning ApplicationsCOVID-19 diagnosis using AI

Cited by 46

The MIMIC-CXR Database

Johnson, A. E. W., Pollard, T., Mark, R., Berkowitz, S., & Horng, S. (2019) · physionet.org

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 42

Predicting vital sign deterioration with artificial intelligence or machine learning

Vistisen, S. T., Johnson, A. E. W., & Scheeren, T. W. L. (2019) · Journal of Clinical Monitoring and Computing

Machine Learning in HealthcareNon-Invasive Vital Sign Monitoring

Cited by 35

MIMIC-III Clinical Database Demo

Johnson, A., Pollard, T., & Mark, R. (2019) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 24

When the Model Trains You: Induced Belief Revision and Its Implications on Artificial Intelligence Research and Patient Care — A Case Study on Predicting Obstructive Hydronephrosis in Children

Kwong, J. C. C., Nguyen, D.-D., Khondker, A., Kim, J. K., Johnson, A. E. W., McCradden, M. M., Kulkarni, G. S., Lorenzo, A., Erdman, L., & Rickard, M. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 15

MIMIC-III Clinical Database CareVue subset

Johnson, A., Pollard, T., & Mark, R. (2022) · PhysioNet

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 12