20 miliardi di euro l’anno: i costi per il cancro in Italia – Prevenzione attiva, la vera arma vincente
The optimization of our algorithm for an AI-based platform will require i) identification of the most relevant features contributing to the risk of colon cancer and the employment of techniques, like the Principal Component Analysis or SelectKBest for feature selection and dimensionality reduction; ii) testing and comparison of different machine learning models (SVM, Random Forest, or Neural Networks) to determine the best one for predictive accuracy; iii) usage of hyperparameter tuning methods, like Grid Search or Random Search, to optimize the chosen model; iv) application of ensemble methods to increase prediction accuracy and stability, v) validation of the model on a separate data set to ensure it generalizes well and maintains its performance and robustness to ensure the model can handle new, unseen data. The platform will be the main plug-in order to suggest personalized chemo-preventive action. The data coming from the clinical trial in WP2 will make it a cancer-predictive tool.
EFFECTS ON SOLUTION
The HELIXAFE-optimized algorithm could identify high-risk individuals before they show any symptoms, potentially allowing earlier interventions and better outcomes for the patients. The algorithm could be used to generate personalized risk profiles, which could suggest preventative strategies. By identifying the individuals most at risk of developing colon cancer, healthcare providers could better allocate their resources. This could lead to a much more efficient use of screening and diagnostic tools. Understanding the drivers of cancer and identifying them early, can also facilitate research into new treatments and prevention strategies. The HELIXAFE platform will also increase awareness among individuals about their own health, prompting them to take proactive steps toward prevention. Early detection and intervention can only potentially reduce healthcare costs by preventing the disease progression, which often requires more intensive, and therefore costly, treatments.
