Liver Disease Prediction Using Machine Learning Algorithms
| dc.contributor.author | Hanani Worood | |
| dc.contributor.author | Awad Areej | |
| dc.date.accessioned | 2023-01-29T08:04:39Z | |
| dc.date.available | 2023-01-29T08:04:39Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Nowadays technology takes a huge space in our lives especially in medical applications. The detection of liver disease at a preliminary stage is important for better treatment. It is a very challenging task for medical. This project will take the responsibility of decreasing the detection time to save patients life. This motion will implement using machine learning techniques such as SVM, KNN, CNN and ANN. It will compare between these algorithms and decide the best algorithm to build a complete system using python to detect the liver disease fast and efficiently. After the study CNN algorithm turned out to be the best algorithm to implement and provides more accuracy than other algorithms. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/18171 | |
| dc.language.iso | en_US | |
| dc.supervisor | Tarapiah Saed | |
| dc.title | Liver Disease Prediction Using Machine Learning Algorithms |
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