Datasets & Competitions
Early detection of kidney illness can be achieved by training machine learning algorithms to discover patterns in patient data, such as imaging, test results, and medical history. This will enable rapid diagnosis and start of treatment regimens, which can improve patient outcomes. With 98.97% accuracy in CKD detection, the suggested TrioNet with KNN imputer and SMOTE fared better than other models. This comprehensive research highlights the model's potential as a useful tool in the diagnosis of chronic kidney disease (CKD) and highlights its capabilities.
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1002 Views
Technology`s rapid growth has revolutionized education, inspiring teachers to integrate it into both pedagogical and andragogical approaches.
In order to maintain educational continuity, the pandemic pushed educational institutions and schools all over the world to immediately adopt remote learning and apply numerous digital tools and technology.
Technology has made communication and cooperation between students, instructors, and parents straightforward.
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238 Views
Gamification is a rapidly evolving field that seeks to integrate game mechanics and elements into non-game contexts to enhance the learning experience of computer science students.
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637 Views