Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm
Recently, there has been a significant research focus on addressing disease prevalence, especially in dealing with the complexities of big data associated with disease data. The challenge is achieving high accuracy due to missing value problems in big data. This study aims to use AI techniques to d...
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| Format: | Article |
| Language: | English |
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College of Computer and Information Technology – University of Wasit, Iraq
2024-09-01
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| Series: | Wasit Journal of Computer and Mathematics Science |
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| Online Access: | http://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/273 |
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| _version_ | 1832582090775855104 |
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| author | Sudad Abed Zuhal Adel Madlool |
| author_facet | Sudad Abed Zuhal Adel Madlool |
| author_sort | Sudad Abed |
| collection | DOAJ |
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Recently, there has been a significant research focus on addressing disease prevalence, especially in dealing with the complexities of big data associated with disease data. The challenge is achieving high accuracy due to missing value problems in big data. This study aims to use AI techniques to develop a system that predicates the optimal solutions for disease, regardless of the type of disease, i.e. the system can be applied to any type of disease. The approach involves handling missing values and normalizing disease datasets. The Whale Optimization Algorithm (WOA) will be used to improve predictions for effective disease treatments. We obtained good results for predicting the appropriate treatment for the disease in the proposed research, compared to the results obtained when applying the PSO algorithm before development in state of earlier, where the results obtained in the proposed research had higher accuracy than the results in in state of earlier at high iterations starting from 200 iterations and also had a lower error rate.:
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| format | Article |
| id | doaj-art-54aabfe0c4594eae875e5afad428e395 |
| institution | Kabale University |
| issn | 2788-5879 2788-5887 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | College of Computer and Information Technology – University of Wasit, Iraq |
| record_format | Article |
| series | Wasit Journal of Computer and Mathematics Science |
| spelling | doaj-art-54aabfe0c4594eae875e5afad428e3952025-01-30T05:23:45ZengCollege of Computer and Information Technology – University of Wasit, IraqWasit Journal of Computer and Mathematics Science2788-58792788-58872024-09-013310.31185/wjcms.273Predicting the Optimal Treatment for Diseases Using Whale Optimization AlgorithmSudad Abed0Zuhal Adel Madlool1Computer science and information technology, Al-Qadisiyah University, Al-Qadisiyah, 58002, IRAQComputer science and information technology, Al-Qadisiyah University, Al-Qadisiyah, 58002, IRAQ Recently, there has been a significant research focus on addressing disease prevalence, especially in dealing with the complexities of big data associated with disease data. The challenge is achieving high accuracy due to missing value problems in big data. This study aims to use AI techniques to develop a system that predicates the optimal solutions for disease, regardless of the type of disease, i.e. the system can be applied to any type of disease. The approach involves handling missing values and normalizing disease datasets. The Whale Optimization Algorithm (WOA) will be used to improve predictions for effective disease treatments. We obtained good results for predicting the appropriate treatment for the disease in the proposed research, compared to the results obtained when applying the PSO algorithm before development in state of earlier, where the results obtained in the proposed research had higher accuracy than the results in in state of earlier at high iterations starting from 200 iterations and also had a lower error rate.: http://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/273Big dataMachine learningdeep learningOptimizationPrediction |
| spellingShingle | Sudad Abed Zuhal Adel Madlool Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm Wasit Journal of Computer and Mathematics Science Big data Machine learning deep learning Optimization Prediction |
| title | Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm |
| title_full | Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm |
| title_fullStr | Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm |
| title_full_unstemmed | Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm |
| title_short | Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm |
| title_sort | predicting the optimal treatment for diseases using whale optimization algorithm |
| topic | Big data Machine learning deep learning Optimization Prediction |
| url | http://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/273 |
| work_keys_str_mv | AT sudadabed predictingtheoptimaltreatmentfordiseasesusingwhaleoptimizationalgorithm AT zuhaladelmadlool predictingtheoptimaltreatmentfordiseasesusingwhaleoptimizationalgorithm |