Diagnostic Expert Advisor: A platform for developing machine learning models on medical time-series data

SoftwareX, vol. 23, pp. 101517

Abstract

Setting up data structures, parallelizing code, and creating visualizations are tasks in almost any project aiming to develop healthcare AI solutions based on heterogeneous, high-dimensional data structures. While toolkits for individual parts of this workflow exist, a solution that provides integration of all steps is rarely found. We present the Diagnostic Expert Advisor, a platform for machine learning research on heterogeneous medical time-series data that aims to provide a robust environment for the rapid development of AI applications. It integrates a local web app through which whole patient cohorts, as well as the disease evolution of individual patients, can be analyzed with integrated tools for data handling, visualization, and parallelization. The platform provides sensible defaults while being flexible and extensible to fit various projects and working styles.

Authors 5

1. Richard Polzin corresponding Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

2. Sebastian Johannes Fritsch Aachen Department of Intensive Care Medicine

   RWTH Aachen University · Universitätsklinikum Aachen · Forschungszentrum Jülich · Jülich Supercomputing Centre

   Affiliation as printed

   Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany

   Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany

3. Konstantin Sharafutdinov Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

4. Gernot Marx Aachen Department of Intensive Care Medicine

   RWTH Aachen University · Universitätsklinikum Aachen

   Affiliation as printed

   Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany

5. Andreas Schuppert Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany