What are the Challenges in Applying NLP to Cancer Data?
Applying NLP to cancer data presents several challenges. One major issue is the variability and complexity of medical terminology. Different terms can refer to the same condition, and the same term can have multiple meanings depending on the context. Additionally, unstructured data in clinical notes often contain abbreviations, typos, and jargon that complicate analysis. Privacy concerns also arise when dealing with sensitive patient information, requiring robust anonymization techniques.
