Towards the Mental Health Ontology

Marreiros

Advances in Intelligent Systems and Computing

2014

Abstract. Psychiatry is the medical specialty responsible for the diagnosis and treatment of mental disorders, in an attempt to secure mental health in the human beings. However, the human brain is a very complex organ, which makes the diagnosis of this kind of illnesses a hard task. Considering this fact, an ontology was conceived with the task of inferring one or more psychiatric disorders depending on the symptoms presented by a patient.

Section: State Of the Artmentioning

confidence: 99%

Development of an Ontology for Supporting Diagnosis in Psychiatry

Marreiros

Advances in Intelligent Systems and Computing

2014

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters

“…The Mental Health Ontology [3] and the Ontology of Mental Disease (OMD) [1] are ontologies that provide a classification of many mental health disorders and links them to possible treatments. OMD is developed specifically as a clear and unambiguous document to communicate about mental diseases.…”

Section: Related Workmentioning

confidence: 99%

Design of an Ontology for Decision Support in VR Exposure Therapy

Heyse¹,

Ongenae²,

Letter³

et al. 2019

Virtual Reality (VR) is finding its way into many domains, including healthcare. Therapists greatly benefit from having any scenario in VR at their disposal for exposure therapy. However, adapting the VR environment to the needs of the patient is time-consuming. Therefore, an intelligent decision support system that takes context information into account would be a big improvement for personalised VR therapy. In this paper, a semantic ontology is presented for modelling relevant concepts and relations in the context of anxiety therapy in VR. The necessary knowledge was collected through workshops with therapists, this resulted in a layered ontology. Furthermore, semantic reasoning through logical rules enables deduction of interesting high-level knowledge from low-level data. The presented ontology is a starting point for further research on intelligent adaptation algorithms for personalised VR exposure therapy. CCS CONCEPTS • Theory of computation → Semantics and reasoning; • Information systems → Expert systems; • General and reference → Design.

Australian Psychologist

“…It consists of disease types, symptoms, causes, and treatments sub-ontologies. Mental heath ontology (MHO) (Hadzic et al, 2008) captures information about different types of mental illness, their causes, and treatments. In this paper we explain the significance of the establishment of the HSO and present a top-layer model for that ontology.…”

Section: Definition Of Ontologymentioning

confidence: 99%

“…Because ontologies are highly expressive knowledge models, they can be used by both human and computer agents. The importance of ontologies has been recognised within the mental health domain and work has begun on developing and sharing mental health ontologies (Hadzic, Chen, & Dillon, 2008).…”

mentioning

confidence: 99%

Designing the human stress ontology: A formal framework to capture and represent knowledge about human stress

Khoozani

Hadzic

2010

Self Cite

A large number of papers have been published on the topic of human stress. There is a need to organise this knowledge under a unifying framework, linking and analysing it in mutual combinations so that new knowledge can emerge. Ontology is an enriched conceptual model for representing domain knowledge. An ontology can be designed to provide a framework for knowledge about human stress. This agreed knowledge model will facilitate knowledge sharing and communications. Additionally, ontologies are machine-readable and can enable automated programs such as data mining to intelligently access and analyse information. The purpose of this paper is to discuss and explain some of the common stress-related terms, their definitions, classifications and possible interrelations between them. A top-layer of the human stress ontology (HSO) model is presented, which will continue to evolve as more research contributions and knowledge become available. It is believed that this framework can be used to build powerful tools to assist researchers and therapists in evaluating stress and facilitating their communication in both research and clinical spaces.