Article

Interpretable Deep Learning for Improving Cancer Patient Survival Based on Personal Transcriptomes

2022-10-21

Abstract excerpt

Precision medicine chooses the optimal drug for a patient by considering individual differences. With the tremendous amount of data accumulated for cancers, we develop an interpretable neural network to predict cancer patient survival based on drug prescriptions and personal transcriptomes (CancerIDP). The deep learning model achieves 96% classification accuracy in distinguishing short-lived from long-lived patien...

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Literature Corpus work: bde4d89d-6e6d-59a2-885c-384191dc2042
DOI: 10.1101/2022.10.19.22281279

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