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Integrating Knowledge Graphs into Machine Learning Models for Survival Prediction and Biomarker Discovery in Patients with Non–Small-Cell Lung Cancer

2024-03-04

Abstract excerpt

Survival prediction is a critical aspect of clinical study design and biomarker discovery. It is a highly complex task, given the large number of “omics” and clinical features, as well as the high degrees of freedom that drive patient survival. Prior knowledge can play a critical role in uncovering the complexity of a disease and understanding the driving factors affecting a patient’s survival. We introduce a meth...

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Literature Corpus work
ddf55145-ae70-5a72-8826-27e9a6db9f38
DOI
10.1101/2024.02.29.582842
Open publication

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Integrating Knowledge Graphs into Machine Learning Models for Survival Prediction and Biomarker Discovery in Patients with Non–Small-Cell Lung CancerDOI 10.1101/2024.02.29.582842
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