Study goal |
Development of a machine learning algorithm based on relevant risk-factors and predictors to facilitate the diagnosis of depression |
Study design |
Prospective Study with three cohorts |
Inclusion criteria |
Sufficient ability to speak and understand German |
Female and male subjects between 18–70 years |
Ability to understand and sign the informed consent form |
PHQ > 8, if depressed |
Exclusion criteria |
Cognitive limitations that interfere with reliable completion of questionnaires |
Presence of a manic episode, bipolar disorder, schizophrenia spectrum disorder, active eating disorder, drug or alcohol dependence syndrome |
Presence of uncontrolled systemic disease, uncontrolled somatic (other than metabolic or cardiovascular) /neurologic disease, current or recent (last month) trauma or infectious disease |
Patients with acute suicidal ideation |
Alpha-1-Antitrypsin deficiency |
Pregnant or lactating women |
Discontinuation criteria |
Patients will be excluded if they develop an exclusion criterion during the course of the study. Data collected up to that point will be retained. The data collected up to that point will be retained in anonymized form, unless the participant requests deletion before ceasing their study participation |