Lecture Healthcare Data Analytics (HS Kempten, Summer Semester 22)

Author: Dr. Michael Strobel

Content of the lecture

Data as a tool for transformation: opportunities from data analytics

• Data value chain
• Data types, statistical tools, summarizing and visualizing data Healthcare data analytics for management
• KPIs, operations, strategic decisions, Healthcare data analytics in the clinical environment
• Data mining of unstructured data
• Data integration (data standards in healthcare)
• Predictive modeling, patient similarity, etc basics of IoT, Big Data and Machine Learning for Healthcare Data Analytics.
• Insight into Big Data tools, e.g. Hadoop (Hive, Pig, HBase), Spark and GraphDB

How to build the documents

Packages required: pandoc, LaTeX

There are two script:

script.sh: builds the whole project once

watch.sh: builds the whole project and watches for changes

Lecture Notes

You can find the PDFs of the Lectures on a specific deploy branch https://github.com/strobelm/HealthCareDataAnalytics/tree/HealthCareDataAnalytics-deploy/build