Results: A depression-specific model demonstrated good predictive performance when distinguishing between individuals with MDD (n=64) and those with subthreshold depression (n=140) (area under the receiver operating characteristic curve=0.89 sensitivity=82.4% specificity=81.3% accuracy=81.6%). The diagnostic performance of the Patient Health Questionnaire–9 was also examined. Random forest classification with nested cross-validation was used to distinguish between individuals with MDD and those with subthreshold symptomatology of the disorder using disorder-specific symptoms and transdiagnostic symptoms. Methods: Symptom data were collected via a digital assessment developed for a delta study. Objective: This study aims to provide evidence for an extended definition of MDD symptomatology.
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Online Journal of Public Health InformaticsĬambridge Centre for Neuropsychiatric Researchĭepartment of Chemical Engineering and BiotechnologyĮmail: Diagnosing major depressive disorder (MDD) is challenging, with diagnostic manuals failing to capture the wide range of clinical symptoms that are endorsed by individuals with this condition.Asian/Pacific Island Nursing Journal 13 articles.JMIR Bioinformatics and Biotechnology 38 articles.JMIR Biomedical Engineering 70 articles.Journal of Participatory Medicine 80 articles.JMIR Perioperative Medicine 93 articles.JMIR Rehabilitation and Assistive Technologies 216 articles.JMIR Pediatrics and Parenting 296 articles.Interactive Journal of Medical Research 330 articles.JMIR Public Health and Surveillance 1218 articles.Journal of Medical Internet Research 7802 articles.
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