How is Bayesian Modeling Applied in Cancer Diagnosis?
In cancer diagnosis, Bayesian models can integrate various diagnostic tools such as imaging, biopsy results, and genomic data to provide a more accurate diagnosis. For example, if a patient presents with a suspicious lesion, a Bayesian model can combine prior statistical data on similar lesions with the patient's specific test results to calculate the probability of malignancy.
