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Contents
1. Introduction
1.1 Overview
1.2 Background
1.3 Overview of data collection
1.4 Data Organization
1.4.1 Types of data
1.4.2 What is a patient record?
1.4.3 Subject ID - Case ID matching
1.4.4 De-identification of patients' data
1.5 Clinical overview of patients in the initial release of the MIMIC II database
1.6 Noise, artifacts and missing data
1.7 Summary and further reading
2. Database Description
2.1 Overview
2.2 Clinical database
2.2.1 Patient
2.2.2 Care Giver
2.2.3 Care Unit
2.2.4 Patient timeline
2.2.5 Patient data
2.2.6 Summary
2.3 High resolution waveforms and associated trends
2.3.1 Overview
2.3.2 The WFDB software package
2.3.3 MIMIC II waveform records
2.3.4 Alarms and Inops
2.3.5 Signal Quality
3. Database Access
3.1 Introduction
4. Examples of data analysis
4.1 Introduction
4.2 Clinical Examples
4.2.1 Patient population age statistics
4.2.2 Resolving discrepancies between multiple itemIDs for one parameter
5. Quick-Start, Frequently Asked Questions and Known problems/issues
5.1 Quick Start
5.2 FAQs about the MIMIC II database
5.3 FAQs about data access
5.4 Known issues/problems
5.5 Abbreviations
6. Appendix
6.1 Database Schema
6.2 Multiple ID mappings
6.2.1 Bicarbonate (HCO3)
6.2.2 Bilirubin (highest)
6.2.3 Blood Pressure
6.2.4 Blood Transfusions
6.2.5 Cardiac Output (CO)
6.2.6 Carbon Dioxide (CO2)
6.2.7 Creatinine (highest)
6.2.8 Central Venous Pressure (CVP)
6.2.9 Glucose Levels
6.2.10 Intra-aortic balloon (IABP) pump rate
6.2.11 Intra-cranial Pressure (ICP)
6.2.12 IV Fluids
6.2.13 Lactate
6.2.14 Oxygen Saturation (SpO2/SaO2)
6.2.15 pH
6.2.16 Potassium
6.2.17 Pressor Medications
6.2.18 Pulmonary Arterial Pressure (PAP)
6.2.19 Respiration Rate
6.2.20 Sodium
6.2.21 Temperature
6.2.22 Urine Output
6.2.23 Ventilators
6.2.24 White Blood Cell Count (WBC)
6.3 Commonly used parameters
6.4 Frequency of all ICD-9 codes for adult ICU-related hospital admissions
Bibliography
djscott 2011-09-07