Checking date: 11/04/2018


Course: 2018/2019

Machine Learning in Healthcare
(16803)
Bachelor in Data Science and Engineering (Plan: 392 - Estudio: 350)


Coordinating teacher:

Department assigned to the subject: Signal and Communications Theory Department

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:




Description of contents: programme
This course aims to provide an overview of the application of machine learning techniques in different problems in healthcare. 1. Introduction to Machine Learning in Healthcare. 2. Smart Electronic Health Records. 3. Disease Identification and Diagnosis. 4. Personalized Medicine 5. Behavioral Characterization and Modification. 5. Drug Discovery. 6. Epidemic Outbreak Prediction.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

The course syllabus may change due academic events or other reasons.