Breast Cancer Prediction using Stacked GRU-LSTM-BRNN model.

[freny24]

Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease. To obtain advance prediction, health records are exploited and given as input to an automated system.
Construct an automated system by employing deep learning based recurrent neural network models. A stacked GRU-LSTM-BRNN accepts health records of a patient for determining the possibility of being affected by breast cancer. The proposed model is compared against other baseline classifiers such as stacked simple-RNN model, stacked LSTM-RNN model, stacked GRU-RNN model. Comparative results obtained in this study indicate that the stacked GRU-LSTM-BRNN model yields better classification performance for predictions related to breast cancer disease.
Goal: Achieve a good accuracy model using stacked GRU-LSTM-BRN.

Comment down below if you are a GSSoc'22 participant and would like to contribute on this issue!

[MauryaRitesh]

Hi, I'm familiar with RNN but have to study BRNN. If you can give me a little extra time then I would love to work on this issue.

[freny24]

@MauryaRitesh You can take your time ,but I'll have to assign it to others if they comment on it. You can complete your previous issue and after that find a new one to work! Good Luck!

[ApoorvYdv]

I would like to work on this issue i have knowledge about GRU and LSTM models and how they work and could definitely contribute on this issue

[freny24]

@Apoorv-17 issue has been assigned to you ! Kindly work on it

[hemhemoh]

I would like to work with Apoorv-17 on this issue, is that possible?

[navyasharma0203]

I would like to work on this issue. Can you assign this to me?