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Medical Public Data Kit

Project description

MediDataKit

Design

  1. 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.)
  2. DataLoader: load data into memory

    • Functionalities:
      • load downloaded data into memory

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

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