A synthetic data generation system for myalgic encephalomyelitis/chronic fatigue syndrome questionnaires.

ABSTRACT: Artificial intelligence or machine-learning-based models have proven useful for better understanding various diseases in all areas of health science. Myalgic Encephalomyelitis or chronic fatigue syndrome (ME/CFS) lacks objective diagnostic tests. Some validated questionnaires are used for diagnosis and assessment of disease progression. The availability of a sufficiently large database of these questionnaires facilitates research into new models that can predict profiles that help to understand the etiology of the disease. A synthetic data generator provides the scientific community with databases that preserve the statistical properties of the original, free of legal restrictions, for use in research and education. The initial databases came from the Vall Hebron Hospital Specialized Unit

SUBMITTER: Lacasa M 

PROVIDER: S-EPMC10471690 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature