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Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1226
Title: Population / patient phenotype similarity based GCN for survival analysis
Authors: Kirtani, Chhavi
Prasad, Ranjitha (Advisor)
Keywords: Graph
Risk Function
Survival Analysis
Neural Networks
Issue Date: Dec-2020
Publisher: IIIT-Delhi
Abstract: Survival Analysis is an important field of research and has its application in medical fields. Researchers have been experimenting with multiple methods to provide a better predicting model for survival analysis, yet there are many improvements possible. We propose here a method combining two concepts together, i.e., Graph and Non-linear survival models in order to provide a better model for Survival Analysis.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1226
Appears in Collections:Year-2020

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