K-MIMIC

"K-MIMIC Dataset (Customized Version) for Korea Clinical Datathon 2024" 

Korea Clinical Datathon 2024 is an event closely associated with the K-MIMIC project, which aims to collect a total of  1 million data entries. For the purpose of this Datathon, we are pleased to provide you with a selected subset of this extensive dataset. 

Medical Images

Modality : X-ray 

For the Korea Clinical Datathon 2024, only a customized subset of this extensive database will be made available. This database encompasses a vast amount of medical data collected from a single hospital. The Datathon dataset will include data covering a period of three months and the collection and processing of this data were conducted using the IMPACT Platform. This dataset features medical images, including X-rays, with a total of 452 cases. 

Required Fields for Finding Medical Imaging Data that Matches from EMRs

We extract medical imaging data belonging to a specific modality and category using EMR. The required modality is Medical Imaging (X-ray), the required category is Abdomen Supine, and the required EMR tables are D_TESTITEMS (Hosp), TESTEVENTS (Hosp). 

D_TESTITEMS : This pertains to information about imaging tests and intra-departmental functional tests.

TESTEVENTS :  This pertains to information about Patient Imaging Test Records. 

To search for the modality and category of the hospital in the D_TESTITEMS table, we refer to the following columns:

• ITEMID: This column stores the test code, generated for data tracking.

• LABEL: This column contains the test name.

• CATEGORY: This column includes information about the test category.

• EDI_CODE: This column holds the EDI code.

To search for the modality and category of the hospital in the TESTEVENTS table, we refer to the following columns:

• SUBJECT_ID: Patient identifier for patients with a history of ICU stay.

• CHARTTIME:  Temporal information about the patient related to the test results (e.g., imaging date, admission date).

• FILE_PATH: The DICOM file path of the respective imaging test results within the central platform. 

Bio-signals

Bio-signals(.vital) collected using the Vital Recorder installed on ICU patient monitors.

The Bio-signal dataset is a comprehensive collection of bio-signals (vital signs) obtained from ICU patients with a total of 112 cases. These data were collected using the Vital Recorder installed on ICU patient monitors at a single hospital. Although an extensive database was collected, only a customized subset of this data will be made available for the Datathon. This dataset serves as a valuable resource for researchers and healthcare professionals aiming to study and analyze bio-signals from ICU patients. The comprehensive data collection facilitates advancements in medical research and the improvement of patient care. 

Required Fields for Finding Bio-signal Data that Matches from EMRs

We extract Bio-signal data belonging to a specific modality and category using EMR. The required EMR tables is ICUSTAYS.

ICUSTAYS :  ICU Admission and Discharge Records.  The information pertains to a patient's ICU admissions and discharges, with each stay from admission to discharge being represented by a single ID. 

To search for the modality and category of the hospital in the ICUSTAYS table, we refer to the following columns:

• SUBJECT_ID: Patient Identifier for Patients with a History of ICU Stay. 

• STAY_ID: ICU Admission-Discharge ID: A unique key to distinguish ICU admission and discharge records.

• INTIME: Date and Time of ICU Admission. 

• OUTTIME: Date and Time of ICU Discharge.