Machine learning based assessment of preclinical health questionnaires.

Journal: International journal of medical informatics
PMID: 37866276

Abstract

BACKGROUND: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic systems used in everyday life, and specialized medical devices. In this study we aim to investigate the use of modern Machine Learning (ML) techniques for preclinical health assessment based on data collected from questionnaires filled out by patients.

Authors

  • Calin Avram
    George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, Romania. Electronic address: calin.avram@umfst.ro.
  • Adrian Gligor
    George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, Romania. Electronic address: adrian.gligor@umfst.ro.
  • Dumitru Roman
    SINTEF AS, Norway; OsloMet - Oslo Metropolitan University, Norway. Electronic address: dumitru.roman@sintef.no.
  • Ahmet Soylu
    Norwegian University of Science and Technology - NTNU, Gjøvik, Norway.
  • Victoria Nyulas
    George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, Romania. Electronic address: victoria.rus@umfst.ro.
  • Laura Avram
    "Dimitrie Cantemir" University of Târgu-Mureș, Romania. Electronic address: laura.avram@cantemir.ro.

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