This project is licensed under the EUPL 1.2. For more details, see the LICENSE file.
"A Toolkit that downloads and cleans french medication database"
snap install medicapptoolsdatasets
Published for with 💝 by anrouxel
medicapptoolsdatasets [options]
-m, --model <model>: Model to use - ai or dataset
-d, --dataset <dataset>: Dataset to use - CIS_bdpm, CIS_COMPO_bdpm, CIS_CIP_bdpm, CIS_GENER_bdpm, CIS_HAS_SMR_bdpm, CIS_HAS_ASMR_bdpm, CIS_InfoImportantes, CIS_CPD_bdpm, HAS_LiensPageCT_bdpm, all
--merge: Merge datasets
-o, --outputDir <outputDir>: Output directory
-u, --outputUrl <outputUrl>: Output URL
-s, --sentenceCount <sentenceCount>: Number of sentences to generate
-i, --input <input>: Input file
--version: Show version information
-?, -h, --help: Show help and usage information
Here are some examples of how to use medicapptoolsdatasets
:
medicapptoolsdatasets -m dataset -d all --merge -o /path/to/outputDir
medicapptoolsdatasets -m dataset -d all --merge -u http://example.com/output
medicapptoolsdatasets -m dataset -d all -o /path/to/outputDir
medicapptoolsdatasets -m dataset -d all -u http://example.com/output
medicapptoolsdatasets -m dataset -d CIS_bdpm -o /path/to/outputDir
medicapptoolsdatasets -m dataset -d CIS_bdpm -u http://example.com/output
medicapptoolsdatasets -m dataset -d CIS_bdpm -d CIS_COMPO_bdpm -o /path/to/outputDir
medicapptoolsdatasets -m dataset -d CIS_bdpm -d CIS_COMPO_bdpm -u http://example.com/output
Using the AI model with all datasets, generating 100 sentences from an input file and outputting to a specific directory
medicapptoolsdatasets -m ai -d all -s 100 -i /path/to/inputFile -o /path/to/outputDir
Please replace /path/to/outputDir
, /path/to/inputFile
, and http://example.com/output
with your actual file paths and URLs.
- DotNet 8
- Antonin Rouxel (anrouxel)
- Quentin Tegny (Qt144)
- Paul BOUTET (Kartinlage)
- Arthur Osselin (tuturita)
- Lana Heyrendt (Renarde-dev)
- Android application: MedicApp
- C# data cleaner: MedicAppToolsDatasets
- Artificial Intelligence Generator (Named Entity Recognition): MedicAppAI
- Named Entity Recognition AI model for prescriptions (usable as a sub-module): MedicAppAssets
- API : MedicAppAPI