Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data

PROTEOMICS, vol. 25, pp. e202400135

Abstract

The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data standardization, advanced storage solutions, and advanced analytical methods. We discuss the role of data science workflows, including data collection, preprocessing, integration, and analysis, in facilitating comprehensive insights into disease mechanisms and patient outcomes. Furthermore, we highlight predictive and prescriptive analytics, as well as the application of large language models (LLMs) in improving clinical decision-making and enhancing the accuracy of disease predictions. The use of high-performance computing (HPC) is also examined, showcasing its role in processing large-scale datasets and accelerating machine learning algorithms. Through this exploration, we aim to provide a comprehensive overview of the current state and future directions of big data analytics in nephrology, with a focus on enhancing patient care and advancing medical research.

Authors 13

1. Riste Stojanov corresponding

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

2. Milos Jovanovik

   TU Wien · Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Institute of Logic and Computation TU Wien Vienna Austria

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

   Institute of Logic and Computation, TU Wien, Vienna, Austria

3. Sasho Gramatikov

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

4. Igor Mishkovski

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

5. Eftim Zdravevski

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

6. Darko Sasanski

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

7. Zorica Karapancheva

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

8. Goce B. Spasovski

   Ss. Cyril and Methodius University in Skopje

   Affiliation as printed

   Department of Nephrology Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

   Department of Nephrology, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

9. Ivona Vasileska

   University of Ljubljana

   Affiliation as printed

   Faculty of Mechanical Engineering University of Ljubljana Ljubljana Slovenia

   Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia

10. Tome Eftimov

    Jožef Stefan Institute

    Affiliation as printed

    Jožef Stefan Institute Ljubljana Slovenia

11. Wu Zhuojun Aachen Institute for Molecular Cardiovascular Research IMCAR

    Universitätsklinikum Aachen

    Affiliation as printed

    Institute for Molecular Cardiovascular Research IMCAR University Hospital Aachen Germany

    Institute for Molecular Cardiovascular Research IMCAR, University Hospital, Aachen, Germany

12. Joachim Jankowski Aachen Institute for Molecular Cardiovascular Research IMCAR

    Maastricht University · Universitätsklinikum Aachen

    Affiliation as printed

    Institute for Molecular Cardiovascular Research IMCAR University Hospital Aachen Germany

    School for Cardiovascular Diseases Maastricht University Maastricht the Netherlands

    Institute for Molecular Cardiovascular Research IMCAR, University Hospital, Aachen, Germany

    School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands

13. Dimitar Trajanov

    Boston University · Ss. Cyril and Methodius University in Skopje

    Affiliation as printed

    Department of Computer Science Metropolitan College, Boston University Boston USA

    Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje North Macedonia

    Department of Computer Science, Metropolitan College, Boston University, Boston, USA

    Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia