Choong, Qian Zheng (2024) AI-Based Healthcare Classification System. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.
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Abstract
Due to the complexity of medical diseases and the growing volume of patient data, the healthcare sector struggles to provide accurate and fast diagnosis. A healthcare expert system that uses AI algorithms to analyse patient data and deliver precise diagnoses and treatment suggestions in real-time is our suggested solution. The system will process massive amounts of patient data from various sources, and machine learning algorithms will be utilised to uncover patterns and correlations that can aid in diagnosis and treatment recommendations. The system has the ability to enhance patient outcomes, lower the likelihood of misdiagnoses, and assist healthcare workers in making wise decisions on patient treatment by offering precise and quick diagnoses.By connecting with existing healthcare systems and electronic health records, our technology stands out and makes it simple for healthcare professionals to use it in their regular job
Item Type: | Final Year Project |
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Subjects: | Medicine > Public aspects of medicine > Public health. Hygiene. Preventive Medicine Science > Computer Science > Artificial intelligence |
Faculties: | Faculty of Computing and Information Technology > Bachelor of Computer Science (Honours) in Data Science |
Depositing User: | Library Staff |
Date Deposited: | 03 Sep 2024 06:47 |
Last Modified: | 03 Sep 2024 06:47 |
URI: | https://eprints.tarc.edu.my/id/eprint/29994 |