2023_24
Educational guide 
School of Engineering
A A 
english 
Biomedical Data Science (2022)
 Subjects
  TEXT MINING FOR HEALTHCARE
IDENTIFYING DATA 2023_24
Subject (*) TEXT MINING FOR HEALTHCARE Code 17705118
Study programme
Biomedical Data Science (2022)
Cycle 2nd
Descriptors Credits Type Year Period Exam timetables and dates
3 Compulsory Second 1Q
Modality and teaching language See working groups
Prerequisites
Department Electronic, Electric and Automatic Engineering
Computer Engineering and Mathematics
Coordinator
PADRÓ CIRERA, LLUÍS
E-mail lluis.padro@urv.cat
Lecturers
PADRÓ CIRERA, LLUÍS
Web
General description and relevant information

In this course, students would be introduced to the basics of text mining, natural language processing (NLP), and their applications in the healthcare domain. They would also learn about the different types of healthcare data sources, including electronic health records (EHRs), clinical notes, and scientific literature.

Also, an overview of applications of text mining in healthcare: In this module, students would learn about various applications of text mining in healthcare, including clinical decision support systems, pharmacovigilance, patient outcome prediction, and population health analysis.

Mention of Ethical and legal issues in healthcare text mining: this module would cover ethical and legal issues related to the analysis of healthcare data, including patient privacy, informed consent, and data ownership.

This course is coordinated by Universitat Politècnica de Catalunya.

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.