probabilistic models

How Do Probabilistic Models Improve Cancer Diagnosis?

Probabilistic models can significantly enhance cancer diagnosis by integrating various types of data, such as genetic mutations, imaging results, and clinical history. For example, a Bayesian network can combine these data points to assess the likelihood that a patient has a particular type of cancer. Moreover, these models can continuously update their predictions as new data becomes available, making them highly adaptable to real-world clinical settings.

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