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DNN Model to Predict Heart Failure. #276

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srajan-kiyotaka opened this issue Mar 6, 2022 · 10 comments
Open

DNN Model to Predict Heart Failure. #276

srajan-kiyotaka opened this issue Mar 6, 2022 · 10 comments
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@srajan-kiyotaka
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I usually work with DNN models
and had made similar projects in past also.
I will use the Deep Neural Network to Predict Heart Failure.

@srajan-kiyotaka
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Hii!
I am a participant in GSSOC'22. Please assign me this issue.

@pratishthaa
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@srajan-kiyotaka

  1. What kind of dataset will you be working with, if it's numerical, it's a basic project
  2. you can work on heart disease and heart failure together
  3. Have you thought about how you will deploy it?

@srajan-kiyotaka
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@pratishthaa
for the Heart Disease part, I had already communicated with you.
For Heart failure,
I can make a CNN model Predict using an x-ray scan of the chest(dataset),
also, I can make a DNN Model for the numeric dataset.
I am finding the X-ray dataset as of now!

@srajan-kiyotaka
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@pratishthaa
Can I talk to you
Like I have some ideas and issues!

@pratishthaa
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Ya sure, you can convey on discord.
As for issues, you can create them here and the mentors can go through them.

@Rutikab12
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@srajan-kiyotaka What's the update on your model?

@srajan-kiyotaka
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@Rutikab12
I am working on the model architecture.
I will create the pull request within this week.

@Rutikab12
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@Rutikab12 I am working on the model architecture. I will create the pull request within this week.

Okay

@Rutikab12 Rutikab12 added 🤩 Up for Grab This issue will is not assigned ! Grab It ! gssoc-ext gssoc labels Apr 15, 2022
@DivyaVijaykumar927
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Hello, my name is Divya V and i'm a GSSOC 24 contributor , and I am eager to contribute to the project "DNN Model to Predict Heart Disease." I have prior experience on similar projects and I'm enthusiastic about lending my expertise to this initiative .Pls assign me this issue.

@JahnaviDhanaSri
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Hi
I’m interested in taking on the DNN Model to Predict Heart Failure task. My plan is to develop a deep neural network using relevant health data to accurately predict the risk of heart failure. This will involve preprocessing the data, training the model, and evaluating its performance to ensure reliable predictions.

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