Foundations of mining non-structured medical data
By External Provider
About this course
Rare course alert! This course is very specific and very will give you the edge you need in your career! Learn all about the foundations of Big Data and the data that is being generated in the health domain and how the use of technology would help to integrate and exploit all those data to extract meaningful information that can be later used in different sectors of the health domain from physicians to management, from patients to caregivers, etc. The course offers a high-level perspective of the importance of the medical context within the European context, the types of data that are managed in the health (clinical) context, the challenges to be addressed in the mining of unstructured medical data (text and image) as well as the opportunities from the analytical point of view with an introduction to the basics of data analytics field. Take the next step in your career and get closer to working with big data, AI and structured analytics. Ideate. Innovate and Iterate with 28Digital.
What you will learn
- Understand the foundations of medical data mining and healthcare big data analytics.
- Apply Natural Language Processing (NLP) methods to electronic health records and clinical text data.
- Explore medical image analysis techniques for applications such as digital pathology and disease detection.
- Use core data mining and machine learning techniques including classification, clustering association analysis and validation for healthcare datasets