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For the Variant Annotation model, we want to provide a value set for Diseases to support standard capture of disease references in VA Statement types - where we need to capture the Disease that a var…
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@TAHIR0110 ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
NephroNet-VGG16 is a deep learning project aimed at classifying kidney di…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Crop Disease Prediction Model
The Crop Disease Prediction Model utilizes machine learning…
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I have used the same dataset what you have used in your code and even code is taken reference from your repo, but i haven't achieved the same accuracy what u have got while fitting the dataset with ra…
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This was originally Parkinson's however we couldn't get good predictions and the performance was unsatisfactory. New use case being sought. The original description:
This is an analysis of biomed…
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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.
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[Child and Adolescent Health From 1990 to 2015Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2015 Study](http://jamanetwork.com/journals/jamapediatrics/fullarticle/2613463)
[…
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Hello Prof Seoane,
I'm interested in your paper “A pathway-based data integration framework for prediction of disease progression”. We are trying to implement the proposed algorithm on the GPU t…
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Hi,
@mapleleaf-soar and I found AI models (e.g. AtomNet #56, ACNN #287) achieve high performance on DUD-E and PDBbind data sets because they learned the bias in the data sets. REF #1008
For examp…
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Hi all, I wanted to share a couple of findings.
I have been using the high quality dataset for my predictions. My validation set got accuracy over 90%, which is obviously wrong. When I tried to pre…