MIMIC-IV

doi:doi:10.57702/fh0fva6p

MIMIC-IV

The dataset used in the paper is a healthcare dataset containing patient information, including vital signs, lab values, and medication administration. The dataset is used to train and evaluate the proposed temporal point process approach for abnormal event explanation.

BibTex:

@dataset{Ran_Elgedawy_and_Sudarshan_Srinivasan_and_Ioana_Danciu_2024,
    abstract = {The dataset used in the paper is a healthcare dataset containing patient information, including vital signs, lab values, and medication administration. The dataset is used to train and evaluate the proposed temporal point process approach for abnormal event explanation.},
    author = {Ran Elgedawy and Sudarshan Srinivasan and Ioana Danciu},
    doi = {10.57702/fh0fva6p},
    institution = {No Organization},
    keyword = {'Clinical', 'Clinical Data', 'Cohort Discovery', 'Critical Care', 'Dataset', 'EHR', 'Electronic Health Record', 'Electronic Health Records', 'Healthcare', 'Hospital Admissions', 'ICU', 'Intensive Care Units', 'MIMIC-IV', 'Medical Data', 'Multimodal', 'Outcomes', 'Patient Records', 'Physiological Parameters', 'Time Series Analysis', 'Treatments', 'clinical notes', 'electronic health records', 'intensive care units', 'lab values', 'medication administration', 'patient information', 'vital signs'},
    month = {dec},
    publisher = {TIB},
    title = {MIMIC-IV},
    url = {https://service.tib.eu/ldmservice/dataset/mimic-iv},
    year = {2024}
}