Finally, a larger proportion of the data set (80% of patients) was used for model training, and a smaller proportion (20% of patients) for model testing. EHR, electronic health record; ML, machine ...

In addition, family history data or genetic risk ... patients at high risk of pancreatic cancer. They exploited recently developed machine learning (ML) methods using patient records from the ...

They set out to develop two machine-learning models ... Kai Jia et al, A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data, eBioMedicine ...