Can I read 2022 10 19 22281279v1 Full on EtoBox?

2022 10 19 22281279v1 Full by schen647 is a document available to read on EtoBox.

What is 2022 10 19 22281279v1 Full about?

The document presents a study on an interpretable deep learning model, CancerIDP, designed to improve cancer patient survival predictions based on personal transcriptomes and drug prescriptions. The model achieves a 96% classification accuracy in distinguishing patient survival outcomes and suggests that 27.4% of patients could benefit from alternative drug treatments, potentially increasing median survival time by 3.9 months. The research highlights the model

Author

schen647

Language

EN