Home
About
Theory
1.1
Biomedical Informatics
1.2
Health Data
1.2.1
Electronic Health Records
1.3
Software Engineering
1.4
Research Process
1.5
Standards
1.6
Interoperability
1.7
Information Retrieval
1.8
Analytic Pipelines
1.9
Artificial Intelligence
1.9.1
Machine Learning
1.9.2
Natural Language Processing
1.9.3
AI in Healthcare
1.10
Clinical Decision Support
1.11
Learning Health System
Infrastructure
2
Setup
2.1
Overview
2.2
Oscar
2.3
GitHub
2.3.1
GitHub in Oscar
2.3
Linux for Windows
2.4
Julia
2.5
R
2.6
VS Code
2.7
FileZilla
3
Data
3.1
Getting Started with Databases
Programming
4
Unix
4.1
Getting Started with Unix
4.2
Analyzing the Adult (Census Income) Data Set
4.3
Analyzing the MIMIC-III Demo Data Set
5
SQL
4.1
Introduction to SQL
6
Julia
6.1
Getting Started with Scientific Computing
6.2
Numbers and Math
6.3
Strings, Characters, and Regular Expressions
6.4
Control Flow
6.5
Collections and Data Structures
6.6
File Input/Output
6.7
REPL and Packages
6.8
DataFrames
6.9
Statistics and Machine Learning
6.9.1
Stats/ML (Extra Resources)
6.10
Plotting and Visualization
7
Python
7.1
Intro to Python
8
R
8.1
Intro to R
5
Matlab
4.1
Introduction to Matlab
Analytic Pipelines
9.1
Introduction
9.2
Study 1
Course Outlines
10
Course Materials
10.1
BIOL155/PHP 2561
10.2
BIOL 6535
10.3
N3C Short Course
10.4
Four-Day Short Course
10.5
New course
Standards
Introduction
Key Readings
Introduction
Key Readings
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