it is the only freely accessible critical care database of its kind; the dataset spans more than a decade, with detailed information about individual patient care; analysis is unrestricted once a data use agreement is accepted, enabling clinical research and education around the world. Patient char...
For example, to build a curated dataset with only the first 1000 patients, we could do: Common Errors / FAQ: When running mimic_direct_extract.py, I encounter an error of the form: psycopg2.OperationalError: could not connect to server: No such file or directory Is the server running ...
Here are the required steps to build the benchmark. It assumes that you already have MIMIC-III dataset (lots of CSV files) on the disk. Clone the repo. git clone https://github.com/YerevaNN/mimic3-benchmarks/ cd mimic3-benchmarks/ ...