Understand healthcare data, analytics algorithms, and big data systems
This course exists at the intersection of healthcare, bigdata analytics and machine learning. It has a goal of helping learners understand healthcare data, learn about analytics algorithms, and understand big data systems which will equip them with the skills to build models on healthcare data.
Course Instructor: Jimeng Sun
Course Developer: David Joyner
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Predictive Modeling
The key goal of this lesson is to develop a good predictive model quickly, using electronic health record.
Classification
This lesson deals with how to evaluate the performance of predicted models using metrics such as accuracy…
Medical Ontology
The existence of structured medical knowledge, which are often represented as ontologies or knowledge graphs
MapReduce
Hadoop MapReduce is a big data system that provides distributed computation and storage for large data sets.
Ensemble Methods
The lesson discusses a class of machine learning algorithms that often lead to the best performing models….
Graph Analysis
This lesson discusses a set of methods used in the analysis of data in graph format represented in nodes and edges.
