ONOH, NNAMDI VICTOR (2023) PREDICTIVE EVALUATION OF HUMAN DISEASE USING LEARNING APPROACH (A CASE STUDY OF CHRONIC KIDNEY DISEASE). Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU.
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Abstract
This research project is to predict a kidney disease using machine learning approach. The discovery of knowledge from medical datasets is important in order to make effective medical diagnosis. In addition, predicting the disease early enables early treatment of patients before it becomes critical. There are increase in rise of this ailment and people are becoming victims on daily basis. Machine learning plays an important role in this research related work to detect this ailment. The study methodology used in this study is predictive modeling with Knowledge Discovery in Databases (KDD). Gaining insight from data is a broad process referred to as "knowledge discovery in databases," and it is extremely beneficial in data mining approaches. The ultimate purpose of the method is to extract information from large amounts of data. This is made possible through the use of algorithms and data mining techniques to extract what is considered knowledge. An accuracy s score o of 94% is obtained in this project work showing that with the variables that were used for the training of this work, there is high chances of the patients having kidney related disease.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Natural and Applied Sciences |
| Depositing User: | Uchenna Eneogwe |
| Date Deposited: | 08 Jun 2026 09:05 |
| Last Modified: | 08 Jun 2026 09:05 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/5768 |
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