Medical Public Data Kit
Project description
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
Project details
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