Meta Mesh Ontology: A Transformative Approach to Mental Health Knowledge Integration

Psychiatric diagnostics struggle to capture the complexity of mental disorders, thereby hampering individualized treatment and personalized psychiatry. Conventional classification systems like DSM-5 and ICD-11 impose rigid categories that inadequately reflect multifactorial, dynamic, and comorbid conditions. To address this limitation, alternative frameworks such as dimensional models and domain ontologies for structured knowledge representation have emerged, yet they often remain isolated and non-interoperable. We present the Meta Mesh Ontology (MMO) as an integrative framework unifying heterogeneous psychiatric knowledge bases through a modular, BFO-compliant structure. The MMO ensures semantic and structural consistency across biological, psychological, and social domains, enabling harmonized data representation and cross-domain reasoning. Its interoperability with established ontologies and informatics standards facilitates integration of multimodal data from clinical, environmental, and sensor sources. By bridging diverse taxonomies such as HiTOP and RDoC, the MMO establishes a scalable foundation for data harmonization and personalized, multidimensional diagnostics in mental health research and practice.