… Therefore, we consider the diagnosis of MDD as defined by fuzzy sets type-2. Our input
variables include norepinephrine, serotonin, dopamine, cortisol, thyroid, and growth hormone. …

… In the current study by [5], they have applied fuzzy logic to diagnose depression with the
comparison of the symptoms’ structure (parameters) between two variables and five variables. …

… work that highlights the existing AD ontology. Section 3 introduces our approach as the
ontology-based fuzzy CDSS, which supports physicians in their AD diagnosis decision-making. …

… diagnosis of the AD. Secondly, (2) we have extended this … -depression and mild depression,
mild depression and moderate depression or moderate depression and severe depression. …

… This paper proposes a neuro-fuzzy-Case Base Reasoning (CBR) driven decision support
… in the diagnosis of depression disorder. The system represents depression disorder with 25 …

… ontology proposed in this chapter represents the concepts associated with chronic depression…
decision support system for the diagnosis and treatment of depression, as well as in a …

… system driven by Fuzzy Logic (FL) for depression risk diagnosis. Depression is a common
… the development of a fuzzy driven system to determine the depression risk levels of patients. …

… of the diagnostic criteria for depression. Finally, we use the example of the assessment of
depression to … We demonstrate how the proposed modeling framework utilizes (1) a fuzzy-logic …

… Thus, their SWRL-F ontology constructed fuzzy rules in SWRL using Web Ontology Language.
Thakur et al. [50] proposed a fuzzy inference system for diagnosing depression through …

… shows the fuzzy ontology with fuzzy concepts is an extension of the domain ontology with …
In this study, mental health ontology (for cases of depressive disorder) will be made based on …