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Data from Data from MIT Laboratory for Computational Physiology / PhysioNet, delivered clean., delivered clean.
2 datasets pulled from Data from MIT Laboratory for Computational Physiology / PhysioNet, delivered clean.'s releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.
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What Datadory delivers from Data from MIT Laboratory for Computational Physiology / PhysioNet, delivered clean.
2PhysioNet - Research Resource for Complex Physiologic Signals
MIMIC-IV - Medical Information Mart for Intensive Care
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Name any Data from MIT Laboratory for Computational Physiology / PhysioNet, delivered clean. dataset and we send real rows from it — not a screenshot of rows. 1,744 datasets. Pick your catch.
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Straight answers about Data from MIT Laboratory for Computational Physiology / PhysioNet, delivered clean. data
How many datasets does Datadory deliver from MIT Laboratory for Computational Physiology / PhysioNet?
Two, both filed under Health Care Technology, and both score a perfect 10 out of 10 - PhysioNet - Research Resource for Complex Physiologic Signals at repository scale, and MIMIC-IV as the single-institution critical-care corpus. Only 145 of the 1,744 datasets in the Datadory catalog reach that mark.
What separates PhysioNet - Research Resource for Complex Physiologic Signals from MIMIC-IV?
Library versus monograph. PhysioNet holds several hundred curated collections - vital signs, ECG and other signals, ICU records, imaging, clinical text, annotations, software and ML models, with flagships such as VitalDB and MIMIC-CXR. MIMIC-IV concentrates one institution's complete hospital record, Beth Israel Deaconess Medical Center, into six modules totalling 364,627 patients.
How many patients and stays does MIMIC-IV cover?
364,627 unique individuals overall. The hosp module spans 546,028 hospitalizations for 223,452 individuals, the icu module 94,458 ICU stays for 65,366, and the cxr module adds 377,110 chest X-ray images across 227,835 studies from 2011-2016.
Which fields join the MIMIC-IV modules together?
Five keys do almost all the work: subject_id for the de-identified patient, hadm_id for the hospitalization, stay_id for the ICU or ED stay, study_id for the imaging study, and itemid for entries in the measurement dictionaries. With those resolved, six module folders become one relational model.