European Master in Software Engineering

Big Data in the Medical Domain: EHR and Image Mining

Outline

Big data applications in the Healthcare Sector indicate a high potential for improving the overall efficiency and quality of care delivery.

Unstructured data represents a powerful untapped resource—one that has the potential to provide deeper insights into data and ultimately help drive competitive advantage. This unstructured data now makes up a very significant portion of the data, and all kind of companies care rapidly exploring technologies for analyzing this kind of data to gain competitive advantage. Solutions to analyze these kinds of data can be applied in other domains using similar nature data sources.

In the healthcare sector, big data analytics has still to address several technical requirements such as : i) use of Electronic Health Records (EHR) and its implications; ii) ) preprocessing of natural text iii) annotation of images; iv) dealing with data silos and building of solutions avoiding them, etc ..

This seminar will be focused in the presentation of medical informatics problems, with a special focus in medical knowledge acquisition. Particularly, diagnosis knowledge acquisition will be addressed with the aim of creating human disease complex networks.

In particular we will deal with the following challenges:

Syllabus

  1. Medical informatics: what is?
  2. Medical knowledge acquisition
  3. Diagnosis problem
  4. Name Entity Recognition applied to medical texts
  5. Human disease networks

Assessment Method

Participation in the class plus a practical exercise.

Prerequisites

Java Programming language will be a plus to understand the NLP exercice.

Credits

0.5 ECTS

Remarks

For last minute information, consult the document

.

Timetable

Lecture Theatre

Cogull

Tuition Language

English.

Capacity:

27



Subscription to this seminars:: To subscribe to the selected seminars, please, fill in this fields (use only your UPM email)::