FAQs
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TBD. We are gald to hear any questions and suggestions about this project.


What is PK (Prediction Probability) for anesthetic depth indicators?

PK, or Prediction Probability, is a statistical measure used to assess the performance of anesthetic depth indicators. It quantifies the probability that an indicator accurately predicts the depth of anesthesia during surgical procedures.

Why choose pk4adi over other PK calculation tools?

pk4adi offers a reimplementation of PK tools originally developed using MS Excel macro language in Python, providing users with a more versatile and accessible solution. Additionally, pk4adi offers easy-to-use APIs and is fully open source, allowing for customization and collaboration.
How can I install pk4adi?

pk4adi can be installed using pip, the Python package manager. Simply run the command pip install pk4adi to install the package and its dependencies.

Does pk4adi support different operating systems?

Yes, pk4adi is designed to be compatible with multiple operating systems, including Windows, macOS, and Linux.

Is there a graphical user interface (GUI) version of pk4adi available?

Yes, a GUI version of pk4adi, called pk4adi_gui, is currently under development. It will provide a user-friendly interface for easier interaction with the PK tools.

How can I report bugs or issues with pk4adi?

You can report any bugs or issues encountered while using pk4adi on the GitHub project page. Simply navigate to the "Issues" section and click on the "New Issue" button to submit a bug report.

Can I contribute to pk4adi development?

Absolutely! pk4adi is an open-source project, and we welcome contributions from the community. You can contribute by submitting bug fixes, implementing new features, or improving documentation. Fork the repository, make your changes, and submit a pull request for review.

Is there any documentation available for pk4adi?

Yes, comprehensive documentation for pk4adi is available on the project's GitHub repository. You can find usage instructions, API documentation, and more in the README file and other documentation files.

How can I get in touch with the pk4adi development team?

For inquiries, feedback, or collaboration opportunities, you can contact the pk4adi development team at silencejiang@zju.edu.cn. We value your feedback and look forward to hearing from you!