some questions about the datasets and your code

ssikjeong1 / Deep_Recurrent_AD

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)

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some questions about the datasets and your code #3

Open zonghuia opened 2 years ago

zonghuia commented 2 years ago

Hello, Your paper is very innovative and deeply attracted me, but I have one question about the datasets and your code.

when I wanted to run your code, I download the TADPOLE datasets, which is full of .csv files. I saw that your code use np.load() to load datasets, which is usually used for loading .npy file. I don't know how to load data. Could you tell me how to deal with the TADPOLE data after downloading it?

Thanks!

CrushMzyyy commented 2 years ago

Hello, I'm a Chinese student, I don't know if I can get to know each other and exchange some questions?

ssikjeong1 commented 2 years ago

Sorry for the late reply to your questions.

As you can find the preprocessing steps in the manuscript.

We utilize the six MRI features (ventricles, hippocampus, fusiform gyrus, middle temporal gyrus, entorhinal cortex, and whole brain) and three cognitive scores (MMSE, ADAS11, and ADAS13).

Best regards,

southbreeze commented 1 year ago

Hello, Your paper is very innovative and deeply attracted me, but I have one question about the datasets and your code.

when I wanted to run your code, I download the TADPOLE datasets, which is full of .csv files. I saw that your code use np.load() to load datasets, which is usually used for loading .npy file. I don't know how to load data. Could you tell me how to deal with the TADPOLE data after downloading it?

Thanks!

Hello, have you processed the dataset yet?