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Proposer
Drishty Sobnath
Title
Intensive Care Unit Admission Prediction for Cardiovascular Patients Using Machine Learning
Goal
Description
Intensive Care Unit (ICU) admission for cardiovascular patients represents a critical decision-making process fraught with challenges such as subjective criteria, delayed risk identification, and resource allocation complexities. This project should leverage machine learning to address these issues, aiming to refine ICU admission practices for enhanced patient care and optimal resource utilization.
Resources
Background
Url
Difficulty Level
Easy
Ethical Approval
None
Number Of Students
0
Supervisor
Drishty Sobnath
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Data Science
Master of Science in Software Engineering
Bachelor of Science in Computing Science
BSc Data Sciences
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