EndoMineR for the extraction of endoscopic and associated pathology data from medical reports
EndoMineR for the extraction of endoscopic and associated pathology data from medical reports - Published in JOSS (2018)
Science Score: 93.0%
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Published in Journal of Open Source Software
Keywords
endoscopy
gastroenterology
peer-reviewed
r
r-package
rstats
semi-structured-data
text-mining
Last synced: 6 months ago
·
JSON representation
Repository
Endoscopic and Pathological data extraction for various endo-pathological data extraction
Basic Info
- Host: GitHub
- Owner: ropensci
- License: mit
- Language: R
- Default Branch: master
- Homepage: https://docs.ropensci.org/EndoMineR
- Size: 50.8 MB
Statistics
- Stars: 13
- Watchers: 5
- Forks: 4
- Open Issues: 0
- Releases: 2
Topics
endoscopy
gastroenterology
peer-reviewed
r
r-package
rstats
semi-structured-data
text-mining
Created over 8 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
Contributing
Funding
License
README.Rmd
---
output: github_document
---
[](https://travis-ci.org/sebastiz/EndoMineR)
[](https://github.com/ropensci/onboarding/issues/153)
[](https://codecov.io/github/sebastiz/EndoMineR?branch=master)
```{r, echo = FALSE}
library(pander)
library(EndoMineR)
library(here)
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
This package has undergone a major revision to make it much more user friendly. THe documentation has been updated to reflect this. I am always happy to hear of any feedback, positive and negative.
## **Aims of EndoMineR**
The goal of EndoMineR is to extract as much information as possible from free or semi-structured endoscopy reports and their associated pathology specimens. A full tutorial can be found [here](https://docs.ropensci.org/EndoMineR/articles/EndoMineR.html)
## Installation
You can install EndoMineR from github with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("ropenSci/EndoMineR")
```
If you dont have access to github, then download the zip and change the working dirctory to the place you have downloaded it, then do
```{r gh-installation2, eval = FALSE}
setwd("C:/Users/Desktop/")
#On windows you cand cd to change the directory or us pushd to create a temporary directory indtead of cd and then setwd to the temporary directory
unzip("EndoMineR.zip")
file.rename("EndoMineR.zip-master", "EndoMineR.zip")
shell("R CMD build EndoMineR.zip")
#Then install the resulting tarball with:
install.packages("EndoMineR_0.2.0.9000.tar.gz", repos = NULL)
```
### How to contribute
Contributions to this project are most welcome. There are just a few small guidelines you need to follow.
#### Submitting a patch
It's generally best to start by opening a new issue describing the bug or feature you're intending to fix. Even if you think it's relatively minor, it's helpful to know what people are working on. Mention in the initial issue that you are planning to work on that bug or feature so that it can be assigned to you.
Follow the normal process of forking the project, and setup a new branch to work in. It's important that each group of changes be done in separate branches in order to ensure that a pull request only includes the commits related to that bug or feature.
The best way to ensure your code is properly formatted is to use lint. Various packages in R provide this.
Any significant changes should almost always be accompanied by tests. The project already has good test coverage, so look at some of the existing tests if you're unsure how to go about it.
Do your best to have well-formed commit messages for each change. This provides consistency throughout the project, and ensures that commit messages are able to be formatted properly by various git tools.
Finally, push the commits to your fork and submit a pull request. Please, remember to rebase properly in order to maintain a clean, linear git history.
[](https://ropensci.org)
Owner
- Name: rOpenSci
- Login: ropensci
- Kind: organization
- Email: info@ropensci.org
- Location: Berkeley, CA
- Website: https://ropensci.org/
- Twitter: rOpenSci
- Repositories: 307
- Profile: https://github.com/ropensci
JOSS Publication
EndoMineR for the extraction of endoscopic and associated pathology data from medical reports
Published
April 27, 2018
Volume 3, Issue 24, Page 701
Authors
Tags
example tags for the paperGitHub Events
Total
- Issues event: 2
Last Year
- Issues event: 2
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| sebastiz | s****z@h****m | 537 |
| Maëlle Salmon | m****n@y****e | 3 |
| Jeroen Ooms | j****s@g****m | 2 |
| Chris Beeley | c****y@g****m | 1 |
| Sebastian Zeki | s****i@s****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 5
- Total pull requests: 85
- Average time to close issues: 4 months
- Average time to close pull requests: 1 day
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 2.8
- Average comments per pull request: 0.08
- Merged pull requests: 78
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: 18 days
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- maelle (3)
- tomjemmett (1)
- sckott (1)
Pull Request Authors
- sebastiz (83)
- maelle (3)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
DESCRIPTION
cran
- R >= 3.3.0 depends
- DiagrammeR * imports
- Hmisc * imports
- data.table * imports
- dplyr * imports
- fuzzyjoin * imports
- ggplot2 * imports
- ggthemes * imports
- here * imports
- lubridate * imports
- magrittr * imports
- pander * imports
- purrr * imports
- rlang * imports
- scales * imports
- stringi * imports
- stringr * imports
- tibble * imports
- tidyr * imports
- tidyverse * imports
- tm * imports
- circlize * suggests
- covr * suggests
- generator * suggests
- googleVis * suggests
- gplots * suggests
- knitr * suggests
- prettydoc * suggests
- randomNames * suggests
- reshape2 * suggests
- rmarkdown * suggests
- testthat * suggests
