Overview

The project PK4ADI stands for “PK for anesthetic depth indicators”, which is designed to help analysis the performance of the possible indicators for the medical occasions.

Intro

The PK was first proposed by the Dr. Warren D. Smith and his team in 1996 [1, 2], it could be represented in a mathematical expression \(P_k\).The \(P\) is short for the probability, and the subscript \(k\) indicates the relation with Kim’s equation. \(P_k\) has been one of the most popular tools to evaluate the anesthetic depth indicators since. At the very beginning, \(P_k\) could only be calculated and compared with the MS Excel macro files [3].

Project PK4ADI is designed to make this tools suitable for the developing demands of the data analysis. In fact, the project is consisted of three sub-projects: PK4ADI for Python, PK4ADI for R, and PK4ADI calculator for GUI which is based on PK4ADI for Python. All these sub-projects provide easy-use APIs for \(P_k\) calculatation as well as \(P_k\) comparison.

This document is intented to help pepple use the PK4ADI for Python. The document of PK4ADI for R could be find at this link. And The document of PK4ADI calculator for GUI could be find at this link.

Key Features

The key features of PK4ADI for Python includes:

  • Fully communication with the original research group: During the development of teh package, we have informed Dr. Warren D. Smith and got helpful suggestions from him.

  • Reimplementation of the MS Excel macro in Python: The pk4adi package offers a Python-based implementation of the PK tools [3].

  • Easy-to-use APIs: The pk4adi package makes it easy to interact with the PK tools and calculate Prediction probability for anesthetic depth indicators.

  • More types checks and error alerts: The pk4adi package provides more transparent and more friendly tips for the users.

  • Favourable for automation coding: The pk4adi package is designed to act as a middleware for automated coding processes.

  • Open Source and Collaboration: The project is fully open source on GitHub, encouraging collaboration and contributions from the community to improve the functionality and reliability of the package.