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SeqModelMDD

This repository contains core code in following paper titled "Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder". (still under construction)

Main Code for evaluation methods in Table 3:

base_line.py Trivial baseline

machine_learn.py Various machine learning methods include: Logistic, Naïve Bayes, SVM, and Random Forrest

GRU.py GRU

LSTM.py LSTM

run_grud.py GRU-D

Data:

The extracted feature data can be downloaded from this link (will be uploaded soon).

Requirements:

requirement.txt

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