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Proposer
Radu-Casian Mihailescu
Title
Machine Learning for Biomedical Data and Personalised Healthcare
Goal
Description
Machine Learning and AI is gradually transforming healthcare services by offering diagnosis and information tools that enable individualised patient management. Examples include, providing personalised treatment recommendations for patients about the right drug and the right dose, as well as customised recommendations based on the person’s lifestyle and behaviour, in order to prevent disease and get ahead of problems that could be troublesome down the road. In this context, machine learning approaches based on medical dataset are proving to be a highly effective strategy in addressing these challenges. The thesis work will focus either at providing a comprehensive study of the application of machine learning to personalised healthcare or will be addressing more in-depth a specific topic such as drug discovery or image processing for automated diagnosis.
Resources
Background
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
1
Supervisor
Radu-Casian Mihailescu
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science