deontaepharr/Diagnosing-ADHD-With-ConvLSTM
Classifying ADHD fMRI data with a CNN+LSTM Model
This project helps behavioral health professionals by analyzing fMRI brain scan data to assist in diagnosing ADHD. It takes raw fMRI images as input and provides a classification that indicates the likelihood of ADHD, aiming to offer an objective, data-driven perspective to complement clinical evaluation. This tool is for neurologists, psychiatrists, and clinical psychologists.
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Use this if you are a clinician seeking an automated, data-driven assistant for the preliminary diagnosis of ADHD based on functional MRI scans.
Not ideal if you are looking for a tool that provides a definitive diagnosis or if you do not have access to fMRI data for analysis.
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Oct 15, 2019
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