MIMIC-IV
A large de-identified clinical database jointly maintained by MIT and Beth Israel Deaconess Medical Center, containing over 400,000 ICU and inpatient visit records. It is one of the most widely used public datasets in medical AI research.
Timeline (last 90 days)
The research team constructed the MIMIC-IV-Ext-DischargeBench dataset based on the MIMIC-IV medical database, containing 477 cases covering 24 ICD disease chapters.
The research team validated HERMES on the MIMIC-III and MIMIC-IV datasets, with tasks of in-hospital mortality prediction and 30-day readmission prediction.
MIMIC-III covers data from approximately 40,000 intensive care patients during 2001–2012, while MIMIC-IV extends the time range to 2008–2019.
Compared to MIMIC-III (released in 2016), MIMIC-IV adopts a more modern data structure, divided into two main modules—hosp and icu—adds emergency department data, and extends the time coverage to 2019.
MIMIC-IV is a large-scale clinical database jointly maintained by MIT's Laboratory for Computational Physiology and Beth Israel Deaconess Medical Center, covering de-identified electronic health records of hundreds of thousands of ICU patients from 2008 to 2019.
The dataset used in this study contains 6,882 patients and 54,694 time windows, with the experimental setup using 24 hours of historical data to predict physiological indicator changes over the next 6 hours.
All Facts (6)
MIMIC-IV is a large-scale clinical database jointly maintained by MIT's Laboratory for Computational Physiology and Beth Israel Deaconess Medical Center, covering de-identified electronic health records of hundreds of thousands of ICU patients from 2008 to 2019.
70%UnverifiedThe research team constructed the MIMIC-IV-Ext-DischargeBench dataset based on the MIMIC-IV medical database, containing 477 cases covering 24 ICD disease chapters.
50%UnverifiedThe research team validated HERMES on the MIMIC-III and MIMIC-IV datasets, with tasks of in-hospital mortality prediction and 30-day readmission prediction.
50%UnverifiedMIMIC-III covers data from approximately 40,000 intensive care patients during 2001–2012, while MIMIC-IV extends the time range to 2008–2019.
50%UnverifiedCompared to MIMIC-III (released in 2016), MIMIC-IV adopts a more modern data structure, divided into two main modules—hosp and icu—adds emergency department data, and extends the time coverage to 2019.
50%UnverifiedThe dataset used in this study contains 6,882 patients and 54,694 time windows, with the experimental setup using 24 hours of historical data to predict physiological indicator changes over the next 6 hours.
50%