Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition? - Grigull, Lorenz; Mehmecke, Sandra; Rother, Ann-Katrin; Blöß, Susanne; Klemann, Christian; Schumacher, Ulrike; Mücke, Urs; Kortum, Xiaowei; Lechner, Werner; Klawonn, Frank (PloS one, 2019)
Keywords: Adolescent; Adult; Algorithms; Amyotrophic lateral sclerosis; Artificial Intelligence; Biology and Life Sciences; Care and treatment; Chronic Disease - epidemiology; Chronic diseases; Computer and Information Sciences; Computer science; Data Mining; Diagnosis; Diagnostic software; Diagnostic systems; Female; Health care access; Health Personnel - statistics & numerical data; Health Status; Hematology; Humans; Learning algorithms; Machine Learning; Male; Medical diagnosis; Medical personnel; Medical schools; Medicine and Health Sciences; Mining industry; Oncology; Pathogenesis; Patients; Pattern recognition; Pattern recognition systems; Pediatrics; People and Places; Physicians; Practice; Questionnaires; Rare diseases; Rare Diseases - classification; Rare Diseases - diagnosis; Rare Diseases - epidemiology; Research and Analysis Methods; Respiratory distress syndrome; Social Sciences; Somatoform disorders; Surveys and Questionnaires; Teaching methods; Young Adult; Germany