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https://github.com/carlbittendorf/biposense
https://github.com/carlbittendorf/biposense
bipolar-disorder julia-language mental-health mobile-sensing passive-sensing psychology psychopathology statistical-process-control
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/carlbittendorf/biposense
- Owner: CarlBittendorf
- License: mit
- Created: 2024-06-23T17:00:05.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-10-22T11:58:05.000Z (2 months ago)
- Last Synced: 2024-11-20T01:17:29.189Z (about 1 month ago)
- Topics: bipolar-disorder, julia-language, mental-health, mobile-sensing, passive-sensing, psychology, psychopathology, statistical-process-control
- Language: Julia
- Homepage:
- Size: 52.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Predicting depressive and manic episodes in patients with bipolar disorder using statistical process control methods on passive sensing data
## Overview
This repository contains the code for data processing, optimization and creating figures, written in [Julia](https://julialang.org/). It is intended to serve as a non-ambiguous documentation of our approach and as a starting point or reference for data processing in future studies in this research area.
Here is a quick overview of various files and folders of interest:
* *Project.toml* and *Manifest.toml*: These two files list the required Julia packages, their dependencies and the versions used in this project.
* *Data.toml*: This file, along with [DataToolkit.jl](https://github.com/tecosaur/DataToolkit.jl), is used to organize and manage our data and contains, among other things, descriptions, checksums and references to the code that was used to create the datasets.
* *src*: This directory contains relatively general functions that could easily be reused in other projects. For example, to download and process data from [movisens](https://www.movisens.com/en/), calculate classification metrics or create plots for statistical process control.
* *scripts*: Contains specific code for loading, transforming and saving data, optimizing parameters and creating figures.