Integration of Python Modules in a MATLAB-Based Predictive Analytics Toolset for Healthcare

Lukas Haider*, Martin Baumgartner, Dieter Hayn, Guenter Schreier

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Background: Python and MATLAB both are common tools used for predictive modelling applications, not only in healthcare. In our predictive modelling group, both tools are widely used. None of the two tools is optimal for all tasks along the value chain of predictive modelling in healthcare. Objectives: The aim of this study was to explore different ways to extend our MATLAB-based toolset with Python functions. Methods: Pre-existing interfaces between MATLAB and Python have been evaluated and more comprehensive interfaces have been designed to exchange even complex data formats such as MATLAB tables. Results: The interfaces have successfully been implemented and they were validated in a Natural Language Processing scenario based on free-text notes from a telehealth services for heart failure patients. Conclusion: Integration of Python modules in our MATLAB toolset is possible. Further improvements especially in terms of performance, are required if large datasets need to be exchanged. A big advantage of our concept is that tabular data can be exchanged between MATLAB and Python without loss and the Python functions are called dynamically via the interface.

Original languageEnglish
Title of host publicationdHealth 2022 - Proceedings of the 16th Health Informatics Meets Digital Health Conference
EditorsBernhard Pfeifer, Martin Baumgartner
PublisherIOS Press BV
Number of pages8
ISBN (Electronic)9781643682822
Publication statusPublished - 16 May 2022
Event16th Annual Health Informatics Meets Digital Health Conference: dHealth 2022 - Vienna, Austria
Duration: 24 May 202225 May 2022

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Conference16th Annual Health Informatics Meets Digital Health Conference


  • Data exchange
  • Interfacing
  • Machine learning
  • Predictive Analytics
  • Python

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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