| Abstrakt: |
A study conducted by researchers at Nicolaus Copernicus University in Torun, Poland explored the efficacy of artificial neural networks in predicting lung cancer recurrence. The study analyzed retrospective data from 2,296 medical records of lung cancer patients. The neural network model used patient information such as gender, treatment, smoking status, family history, and symptoms of cancer to predict recurrence. The network demonstrated high predictive ability, with correct classifications of 87.5%, 89.1%, and 89.9% for the training, validation, and test sets, respectively. The researchers concluded that further research is needed to validate these findings and explore the broader implications of artificial intelligence in cancer diagnosis and treatment. [Extracted from the article] |
