Exploring the similarities of XAI approaches in finding the influential factors in lung cancer survival rate
Lung cancer is the most common cancer and the leading cause of cancer-related deaths globally. While Artificial Intelligence (AI) offers promise in early detection of high-risk patients and providing treatment decision support, the black-box nature of AI models raises trust concerns. Therefore, eXpl...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175082 |