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MedQuest: Simplifying access to clinical trials, providing instant medical answers, and demystifying terminology for individuals facing various diseases, aiming to be a lifeline of healthcare support.
This is a project targeting the Chevron track. We are using neural network machine learning from tensorflow to predict the total amount of assistance for a given state.
We developed a model that predict the level of interested rate for an approved mortgage, and investigated whether partitioning the dataset by race can improve predictive accuracy.
