MediDataKit
Design
-
Downloader: download data from specific sources e.g. UCIML, Local Directory
- Functionalities:
- download data files with provided URLs, Paths, and other information
- save downloaded files, check if the file exists before downloading
- Information produced:
- raw_data_files: original downloaded data files (file name and paths, number of files, file size, etc.)
- Functionalities:
-
DataLoader: load data into memory
- Functionalities:
- load downloaded data into memory
- Functionalities:
raw_data_files (original downloaded data files) -> raw_data (centralized data, federated data) -> ML-ready data (data ready for performing ML tasks)
Included Datasets
clinical dataset
- ZigongHeartFailureDataset
- MIMIC2IACDataset
- MIComplicationsDataset
- DiabeticHospitalDataset
- ARI2Dataset
- SupportDataset
- CIBMTRHCTSurvivalDataset
- CrashDataset
- RHCDataset
- HCCSurvivalDataset
- ZAlizadehsaniDataset
- NasarianCADDataset
repo dataset
- ArrhythmiaDataset
- ColposcopyDataset
- SPECTFDataset
- BreastCancerWisconsinDataset
- DermatologyDataset
- BoneTransplantDataset
- ParkinsonsDataset
- CervicalRiskDataset
- BacteremiaDataset
- FetalCTGDataset
bioinfo dataset
- CodonUsageDataset
- GENE3494Dataset
APP
shiny run --reload --launch-browser shiny-app/app.py
1 maintainer
Metadata
1 maintainer
Release files for MedDataKit 0.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| meddatakit-0.0.12.tar.gz | 45.9 kB | Without provenance | Details for meddatakit-0.0.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| meddatakit-0.0.12-py3-none-any.whl | Python 3 | none | any | Details for meddatakit-0.0.12-py3-none-any.whl |
Total release size: 102.9 kB
Release files / meddatakit-0.0.12.tar.gz
| Download URL | meddatakit-0.0.12.tar.gz |
|---|---|
| Size | 45.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.12.9 Windows/11
|
Release files / meddatakit-0.0.12-py3-none-any.whl
| Download URL | meddatakit-0.0.12-py3-none-any.whl |
|---|---|
| Size | 57.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a6221a093b1204dd5c360e9ec8710534c2f8550c267c3384c6a892a30a9fccff
|
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BLAKE2b-256 checksum How to use checksums |
0ae739a8644ad31cac18607bd7c6bfc9d67e7952319d6bf646a9303d6ff438d4
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.12.9 Windows/11
|
Security for MedDataKit 0.0.12
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No provenance found
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