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ndeep's Introduction

nDeep for cancer prediction.

This repository contains the code for the paper "A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers". (Cancers)

Brief explanation of model architecture:

nDeep architecture This model contains three layers of long short-term memory (LSTM) and one fullyconnected layer that outputs predicted hazard. LSTM is a type of recurrent network (RNN)that has feedback connections that can address vanishing or exploding gradient issues of RNN. Its architecture transforms survival data into sequences of n time steps, which can then be processed and analyzed.

(6) (PDF) A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers. Available from: https://www.researchgate.net/publication/374270245_A_Study_on_Survival_Analysis_Methods_Using_Neural_Network_to_Prevent_Cancers#fullTextFileContent [accessed Oct 06 2023].

Citation

If you use this model in academic work please feel free to cite our paper.

@article{bae2023study,
  title={A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers},
  author={Bae, Chul-Young and Kim, Bo-Seon and Jee, Sun-Ha and Lee, Jong-Hoon and Nguyen, Ngoc-Dung},
  journal={Cancers},
  volume={15},
  number={19},
  pages={4757},
  year={2023},
  publisher={MDPI}
}

ndeep's People

Contributors

ngocdung03 avatar

Watchers

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ndeep's Issues

How do I run a local test with this model?

Hi, thank you very much for sharing this method. I found that the database is missing when I tried to run the method on my local computer, how should I run the test with this method.

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