Improving prediction accuracy involves several strategies, such as:
1. Enhanced Data Collection: Collecting more comprehensive and high-quality data, including genetic, environmental, and lifestyle factors. 2. Advanced Algorithms: Utilizing sophisticated machine learning and artificial intelligence algorithms to better capture the complexities of cancer. 3. Interdisciplinary Approaches: Combining insights from oncology, bioinformatics, and data science to develop more accurate predictive models. 4. Validation and Testing: Rigorous validation and testing of predictive models on diverse datasets to ensure their generalizability.
