MIMIC Code Repository

Extract patient data from MIMIC-III using SQL scripts.

Preprocess data using MIMIC Extract.

Train a machine learning model to predict readmission risk.

Deploy the model to identify high-risk patients.

Implement interventions to reduce readmission rates.

Create the ventdurations view in concepts/durations/ventilation_durations.sql.

Query the view to extract ventilation durations for patients.

Analyze the data to identify factors affecting ventilation duration.

Develop strategies to optimize ventilation management.

Use the medication categories Python script to extract medications from free-text notes.

Standardize medication names using a medication dictionary.

Analyze medication patterns to identify potential errors.

Implement interventions to improve medication reconciliation.

Extract relevant patient data from MIMIC databases.

Integrate data with clinical guidelines and protocols.

Develop a decision support system to provide recommendations to clinicians.

Evaluate the impact of the decision support system on patient outcomes.

Utilize GitHub Advanced Security to scan for vulnerabilities

Automate code, secret, and dependency scanning with integrated tools

Review and address identified vulnerabilities promptly

Monitor the software supply chain to manage dependencies effectively