University of Glasgow - Data mining of Clinical Databases - CDSS 1
- Offered byCoursera
Data mining of Clinical Databases - CDSS 1 at Coursera Overview
Duration | 21 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data mining of Clinical Databases - CDSS 1 at Coursera Highlights
- Earn a Certificate upon completion from University of Glasgow
Data mining of Clinical Databases - CDSS 1 at Coursera Course details
- This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms
- In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics
- The schema and International Classification of Diseases coding is important to understand how to map research questions to data and how to extract key clinical outcomes in order to develop clinically useful machine learning algorithms
Data mining of Clinical Databases - CDSS 1 at Coursera Curriculum
Electronic Health Records and Public Databases
Welcome to Informed Clinical Decision Making Specialisation
Welcome to the course
Big Data in Healthcare
EHR System in the UK and USA
MIMIC Critical Care Dataset: The Impact
Data Usage Requirements
Specialization and course structure
Meet the team
Standardized electronic health record data
Migrating to electronic health record systems
The Belmont Report
Hardware requirements
Obtaining access to the MIMIC-III Dataset
Complete CITI course
MIMIC III - installation instructions
Week 1 Summary Quiz
MIMIC III as a relational database
MIMIC-III Data Linkage
MIMIC-III as a Relational Database
MIMIC-III - Descriptive Statistics
Mortality and Length of Stay in MIMIC
Vital Signs Extraction for a Single Patient
MIMIC-III, a freely accessible critical care database
Practical Exercise: Extract heart rate data using Postgres and Python
Practical Exercise: Extract hospitalisation numbers using Postgres and Python
Practical Exercise: Extract age and gender using Postgres and Python
Practical Exercise: Extract mortality numbers using Postgres and Python
Practical Exercise: Extract length of stay numbers using Postgres and Python
Practical Exercise: Extract vital data from a single patient using Postgres and Python
Week 2 Summary quiz
International Classification of Disease System
Introduction to International Classification of Disease System
Evolution of the ICD System
ICD-9 and MIMIC-III
From ICD-9 to ICD-10
Special Signs in ICD-10
WHO and Health Statistics
History of the ICD
Practical Exercise: Extract patients' height using Postgres and Python
Practical Exercise: Extract table with days in ICU using Postgres and Python
Practical Exercise: Extract Glasgow Coma Scale using Postgres and Python
Practical Exercise: Extract ICD-9 related information using Postgres and Python
Week 3 summary quiz
Concepts in MIMIC-III and an example of patients inclusion flowchart
Concepts in MIMIC III
Relation of Catheterization to Mortality: An Example Study
Data Extraction
The MIMIC Code Repository: enabling reproducibility
The Association Between Indwelling Arterial Catheters and Mortality in Hemodynamically Stable
Practical Exercise: Extract vital data of MIMIC-III using Postgres and Python
Practical Exercise: Exclude ICU readmissions from the study using Postgres and Python
Practical Exercise: Select patients requiring mechanical ventilation using Postgres and Python
Practical Exercise: Exclude patients diagnosed with sepsis from the study using Postgres and Python
Practical Exercise: Exclude patients requiring vasopressors from the study using Postgres and Python
Practical Exercise: Exclude patients with a prior IAC placement from the study using Postgres and Python
Practical Exercise: Exclude patients admitted to the CSRU or CCU care units from the study using Postgres and Python
Practical Exercise: Combine all criteria and split the cohort in groups using Postgres and Python
Practical Excercise: Visualise IAC groups
Week 4 summary quiz
End of course summative quiz
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