Neuroscience and artificial intelligence
Dates & timetable:
Application for this micro-credential will be opened in Spring semester of academic year 2024/2025
Description:
Natural Language Processing (NLP) can aid in identifying patterns in unstructured medical data, such as symptoms, diagnoses, treatment outcomes, and patient experiences. In the context of cognitive impairment detection, NLP algorithms can analyze speech patterns, written language, and electronic health records to identify linguistic markers that indicate cognitive decline. This has the potential to revolutionize early diagnosis and intervention strategies for conditions like Alzheimer’s disease and dementia. The course aims to equip students with the knowledge, skills, and practical expertise necessary to effectively utilize NLP techniques in the field of health science for the purpose of early and accurate detection of cognitive impairment in individuals
Learning Outcomes:
- Know the basics of Natural Language Processing.
- Application of NLP basics to spontaneous language.
Sustainable development goals:
- SDG3: Good health and well-being
- SDG5: Gender equality
If you need some extra assistance with the application, here is a step by step instruction on how to complete the application form.
Sector:
Smart
Thematic area:
Cognitive systems and neuroscience
HASHTAGS/KEY WORDS:
#health #medicine #AI #innovations
Volume (ECTS):
1
Language:
English
Hard skills:
AI for Neuroscience Research Ethics
Soft skills:
Teamwork Problem solving
Study format:
Online
Study methods:
Study cases assignments presentation
Hours
Synchronous contact hours: 10
Asynchronous hours & self directed learning: 15
Entry requirements:
Communication in English at a B2 level.
Assessment:
Exercises, assignments, presentation
HOST UNIVERSITY:
Catholic University of Valencia, Spain
Stage of accreditation:
Internally validated by the UCV Governing Board