How to Set Up Google BigQuery for MIMIC-IV | Create Project, Dataset & Run Your First SQL Query

Welcome back to Wilfred The Analyst! In this second video of our MIMIC-IV clinical research and healthcare data analytics series, we walk through the practical steps of setting up Google BigQuery to work with the MIMIC-IV clinical database. We will connect to the PhysioNet data project, configure our own Google Cloud project, create a research dataset, and execute our first SQL query to confirm that everything is working correctly. Research Project Clinical Characteristics and Hospital Outcomes Among Adult ICU Patients: A Retrospective MIMIC-IV Cohort Study Throughout this tutorial series, we will consistently use the following project configuration: • Project Name: MIMIC-IV Adult ICU Outcomes • Project ID: mimic-icu-outcomes-11 • Dataset ID: mimic_icu_outcomes_11 • Dataset Location: US What You Will Learn 1. Confirming PhysioNet and Google BigQuery access. 2. Opening Google BigQuery through Google Cloud Console. 3. Starring the PhysioNet data project (physionet-data). 4. Creating your own Google Cloud project. 5. Setting up your research Project ID. 6. Creating a BigQuery dataset and selecting its location. 7. Running your first SQL query against the MIMIC-IV ICU stays table. 8. Verifying your dataset configuration. If you find this tutorial helpful, please LIKE, COMMENT, SHARE, and SUBSCRIBE to Wilfred The Analyst for more practical tutorials on clinical research, healthcare data analytics, MIMIC-IV, SQL, Python, and BigQuery. #MIMICIV #GoogleBigQuery #HealthcareAnalytics #ClinicalResearch #SQL #PhysioNet #MedicalDataScience #DataAnalytics