A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability
Lung cancer, one of the deadliest forms of cancer, can significantly improve patient survival rates by 60�70% if detected in its early stages. The prediction of lung cancer patient survival has grown to be a popular area of research among medical and computer science experts. This study aims to pred...
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Main Authors: | Huang S., Arpaci I., Al-Emran M., K?l?�arslan S., Al-Sharafi M.A. |
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Other Authors: | 56465178700 |
Format: | Article |
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Springer
2024
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