Table 1 Eligibility criteria.
From: Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
IC # | Inclusion Criteria (the following articles should be included): |
IC1: | The article utilizes a machine learning model to conduct automatic diagnosis. |
IC2: | The article pertains to PTSD diagnosis. |
IC3: | The article explicitly mentions the evaluation metrics used to report the model’s performance. |
IC4: | The article is authored in English. |
EC # | Exclusion Criteria (the following articles should be excluded): |
EC1: | Articles duplicated across various databases. |
EC2: | Articles not related to the diagnosis or prediction of PTSD. |
EC3: | Articles that do not report their evaluation methods and metrics. |
EC4: | Articles focused on the prediction of future outcomes, risk factors of acquiring PTSD, or the trajectory of symptoms, rather than PTSD diagnosis. |
EC5: | Articles primarily concerned with the feature selection process. |
EC6: | Case studies. |
EC7: | Articles not subjected to peer-review (non-journal articles). |
