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Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

Home Page: https://towardsdatascience.com/detecting-autism-spectrum-disorder-in-children-with-computer-vision-8abd7fc9b40a

Python 100.00%
transfer-learning autism autism-spectrum-disorder cnn binary-classification bayesian-statistics bayes children face-recognition keras

kaggle-autism's Introduction

Mikian: Bad artist, better programmer

Data Scientist @OPTX

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kaggle-autism's Issues

Ask for help

Hello, I am a Chinese university student, and we have a public welfare project that needs to use your project. Therefore, I would like to seek a relevant introduction to your project from you. My email is [email protected] Thank you.

HELP!!!!!!

Please help me with the execution of this project bro, from which file should i have to start executing... i will be waiting for your reply..

Probable Bias in Algorithm Training Database

Hello,

I am autistic and just got curious about the model you have developed. As someone informed about the subject, I would like to share some possibly useful information.

First of all, bias in autism happens in several ways. The fact that this and most projects related to autism are directed towards children is a starting example of a kind of bias that happens: nobody develops anything for adults, where the diagnosis is much more complicated and is growing faster due to increased access to information. But that is not my only point here, as this tool is about children diagnosis.

I didn't look at the entire database, but I quickly sampled a systematic sample of 20 images (I must confess, I sampled systematically for convenience, not that there would be any benefit), taking 1 of every 50 pictures available. Of the 20 pictures, I have only found:

  • 1 black kid. I know ethnical classifications vary from country to country, but in my country (Brazil) all other 19 kids would likely be classified as white. Black people are less likely to receive autism diagnosis.
  • 3 girls. Girls are already a discriminated group in autism diagnosis less likely to get a diagnosis and often diagnosed later than boys, therefore the use of a database where girls are a minority tends to strength this gap in diagnosis.

On the non-autistic database, on the other hand, I did the same procedure and sample also 20 images, and while I didn't find any black kids there, I have found 6 girls in my sample, reinforcing that this bias is present in both samples.

Those biases are not exclusive from this project. Tools like, i.e., the Autistic Quotient and others used in professional diagnosis are known to be biased against non-whites and girls, too.

I hope my input is useful to improve your project. With a better database the project has the potential to help towards reducing those kinds of biases.

PS: If my sample does not correspond to the actual database,

Best regards,
Bruno Moreira-Guedes

autism detection

Dear friend, can I get the hdf5 file?
I will be very appreciated.!

Urgent

Its Urgent. Getting some errors how can i contact you. Please reply me ASAP sir.

testing the model

great work, i just can't find the pretrained weight to test the model

Autism

Dear friend , can I have readme files or any other files regarding the programs and their execution. Try to respond as soon as possible. I will be waiting for your response.

He is showing signs of autism.

Hi,

I have a 5 year old relative. He is showing signs of autism. Doctors could not diagnose Autism. Can I introduce the child's photo with this software and see the risk of autism? How can I introduce the child's photo to this software?
Thank you…

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