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Getting Started

  • Installation
  • Tutorials
  • Advanced Tutorials

Documentation

  • Data
    • pyhealth.data.Event
    • pyhealth.data.Visit
    • pyhealth.data.Patient
  • Datasets
    • pyhealth.datasets.BaseDataset
    • pyhealth.datasets.SampleDataset
    • pyhealth.datasets.MIMIC3Dataset
    • pyhealth.datasets.MIMIC4Dataset
    • pyhealth.datasets.eICUDataset
    • pyhealth.datasets.OMOPDataset
    • pyhealth.datasets.splitter
    • pyhealth.datasets.utils
  • Tasks
    • pyhealth.tasks.drug_recommendation
    • pyhealth.tasks.readmission_prediction
    • pyhealth.tasks.mortality_prediction
    • pyhealth.tasks.length_of_stay_prediction
  • Models
    • pyhealth.models.MLP
    • pyhealth.models.CNN
    • pyhealth.models.RNN
    • pyhealth.models.Transformer
    • pyhealth.models.RETAIN
    • pyhealth.models.GAMENet
    • pyhealth.models.MICRON
    • pyhealth.models.SafeDrug
    • pyhealth.models.Deepr
  • Trainer
  • Tokenizer
  • Metrics
    • pyhealth.metrics.multiclass
    • pyhealth.metrics.multilabel
    • pyhealth.metrics.binary
  • MedCode

Additional Information

  • PyHealth live
  • Development logs
  • About us
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Advanced Tutorials#

We provided the advanced tutorials for supporting various needs.

Advanced Tutorial 1: Fit your dataset into our pipeline

Advanced Tutorial 2: Define your own healthcare task

Advanced Tutorial 3: Adopt customized model into pyhealth

Advanced Tutorial 4: Load your own processed data into pyhealth and try out our ML models

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