Skip to main content

Table 2 Inclusion/exclusion criteria

From: Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review

Inclusion

Exclusion

Screening/Prediction/Diagnosis of depression in the undiagnosed with/without comorbidities

Involved interventions/trials or delivery/monitoring of interventions

Artificial Intelligence/Machine Learning techniques

Used additional unproven, experimental, bespoke or laboratory technology

Used EHRs/Clinical notes derived data as primary source

Used additional high cost/specialist technology such as fMRI (functional Magnetic Resonance Imaging) scanners, ECG (electrocardiogram), EEG (electroencephalogram), PET (Positron Emission Tomography) scans, radiography etc

Ethically approved

Involved invasive procedures such as blood tests, CSF (Cerebrospinal Fluid) assays

Took place after 01/January/2011

Required additional activity to obtain predictor data e.g., clinical interviews

Available in English

Review/Summary paper

Published in a peer reviewed journal/recognised publisher/conference paper

Â