Transforms single patient data into a single-row vector and batch patient data into a data matrix D ready for machine learning (binary classification).
- CogStack (cogstack_v8_lite)
- Elasticsearch
- MedCat
- CSV
- Multiprocessing
- OS
- Re
- Sys
- Warnings
- Numpy
- Pandas
- Pickle
- Scipy
- COGStats
- JSON
- Random
- Subprocess
- Time
- Traceback
- Datetime
- functools
- IO
- Pathlib
- Tqdm
- Colorama
- Single patient
- Batch patient
- Cohort search and creation
- Automated random controls
- Modular feature space selection
To install pat2vec, you can clone this repo:
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Set paths
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Configure options
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Run all
Contributions are welcome! Please see the contributing guidelines for more information.
This project is licensed under the MIT License - see the LICENSE file for details