Science Score: 10.0%
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
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Basic Info
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- Stars: 2
- Watchers: 15
- Forks: 3
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
MDAT
Medical Decision Aid Tool
The MDAT is a set of software libraries to implement a medical decision aid. These libraries are designed to select the best of two or more alternatives given responses to a list of criteria.
Installation
To install from source, use setup.py
python setup.py install
Usage Instructions
mdat --help provides current usage instructions:
usage: mdat [-h] [-i {json}] [-o {json,brief,csv,csvnoheader}]
[infile] [outfile]
Select the best of two or more alternatives given responses to a list of
criteria
positional arguments:
infile
outfile
optional arguments:
-h, --help show this help message and exit
-i {json}, --input {json}
Specify the file type used as input. Valid types: json
-o {json,brief,csv,csvnoheader}, --output {json,brief,csv,csvnoheader}
Specify the file type used as input. Valid types:
json, brief, csv, csvnoheader
Input data
Sample input data should be a json file with two or more labeled alternatives, one or more labeled criteria, and the numeric responses to each criteria for each alternative. This example input file shows response data for 4 criteria that could be used to determine the preferred type of colorectal cancer screening:
{
"Accuracy": {
"Fecal Immunochemical Test": 0.1,
"Flexible Sigmoidoscopy": 0.2,
"Colonoscopy": 0.3
},
"Amount of colon examined": {
"Fecal Immunochemical Test": 0.5,
"Flexible Sigmoidoscopy": 0.7,
"Colonoscopy": 0.8
},
"Complications": {
"Fecal Immunochemical Test": 0.2,
"Flexible Sigmoidoscopy": 0.1,
"Colonoscopy": 0.9
},
"Cost": {
"Fecal Immunochemical Test": 0.4,
"Flexible Sigmoidoscopy": 0.8,
"Colonoscopy": 0.9
},
"Discomfort": {
"Fecal Immunochemical Test": 0.1,
"Flexible Sigmoidoscopy": 0.3,
"Colonoscopy": 0.9
},
"Sedation": {
"Fecal Immunochemical Test": 1.0,
"Flexible Sigmoidoscopy": 0.8,
"Colonoscopy": 0.9
},
"Test Preparation": {
"Fecal Immunochemical Test": 0.1,
"Flexible Sigmoidoscopy": 0.2,
"Colonoscopy": 1.0
}
}
Output data
mdat can output data in three formats.
$ mdat sample_data/test.json
Colonoscopy
$ mdat -o csv sample_data/test.json
Fecal Immunochemical Test,Flexible Sigmoidoscopy,Colonoscopy
0.4403085839715581,0.4472662851726272,0.887231735365237
$ mdat -o json sample_data/test.json
{"best_alternative": "Colonoscopy", "choquet_scores": {"Fecal Immunochemical Test": 0.43414030720240016, "Flexible Sigmoidoscopy": 0.4729342460226981, "Colonoscopy": 0.9068722937866821}}
Requirements
This project requires Python 2.7 or greater.
This project uses Travis CI for automated testing. Please revise the .travis.yml to reflect any changes in required libraries as changes are made to the software.
Contributions
The MDAT Team welcomes contributions to this project. Please fork and send pull requests with your revisions. Any code changes must be accompanied by corresponding unit tests to be accepted. Please configure your account at https://travis-ci.org to test your commits to your fork so you get quick feedback on any issues created by your changes.
Owner
- Name: CTS-IT
- Login: ctsit
- Kind: organization
- Location: 2401 Archer Road Gainesville, FL 32608
- Website: https://www.ctsi.ufl.edu/research/study-design-and-analysis/informatics-consulting/
- Repositories: 160
- Profile: https://github.com/ctsit
Clinical and Translational Science Informatics and Technology, University of Florida
GitHub Events
Total
Last Year
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Philip Chase | p****c@u****u | 49 |
| Alex Loiacono | a****o@u****u | 16 |
| Christopher Barnes | s****c@g****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 2
- Average time to close issues: about 1 month
- Average time to close pull requests: about 7 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 3.0
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- indera (1)
Pull Request Authors
- indera (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 6 last-month
- Total dependent packages: 0
- Total dependent repositories: 2
- Total versions: 1
- Total maintainers: 1
pypi.org: mdat
A decision aid designed to select the best of two or more alternatives given responses to a list of criteria
- Homepage: https://github.com/ctsit/mdat
- Documentation: https://mdat.readthedocs.io/
- License: Apache 2.0
-
Latest release: 0.3.1.2
published over 10 years ago
Rankings
Maintainers (1)
Dependencies
- jsonschema *