An expert system applied to the diagnosis of psychological disorders

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%

Section: State Of the Artmentioning

confidence: 99%

Development of an Ontology for Supporting Diagnosis in Psychiatry

Marreiros

Advances in Intelligent Systems and Computing

2014

Procedia Computer Science

“…Multiple criteria decision support methods have gained prominence in various scenarios, and decision support methods play a main role on assisting professionals either from the business, by supporting management decisions (as in [3,4,5,6,7]), or from the health area, by aiding on early diagnosis of diseases as Alzheimer, Diabetes, psychological disorders, such as psychotic, mood or anxiety disorders, antisocial personality, etc., and Attention Deficit -Hyperactivity Disorder (ADHD) [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Approaches of Verbal Decision Analysis in the Selection of Project Management Approaches

Tamanini

Pinheiro

Machado

et al. 2015

Decision support methods aim at assisting in the decision-making process by simplifying the analysis of the problem and justifying the choice of a particular potential action. Recent researches have shown that the hybridization of methods is able to overcome limitations presented by the methods when applied separately: the classification of alternatives before submitting them to an ordination methodology would be an effective way of filtering the set to be ordered. Specific Practices of Capability Maturity Model Integration were analyzed through a decision making model, assisted by the methods SAC and ZAPROS III-i. The results will be compared to previous studies.

Computer Science &Amp; Information Technology(CS &Amp; IT)

“…Psychiatric diseases are not related to the mental and cultural development of the human being, but is mainly the result of events experienced by humans in their lives, and in many cases are painful, difficult and complex events, making him unable to solve any problem in his life, and thus exacerbate these problems and Psychiatric patients suffering from depression [1]. We tried as much as possible to explore in a deep and careful way to learn more about Psychiatric diseases to do our great research and answer questions about this disorder and will limit the content as much as possible to the following five common types of psychiatric diseases: Depression, anxiety disorder, obsessive-compulsive disorder, and hysteria [2]. There are several factors for these Psychiatric diseases, most notably: Biological factors such as heredity, prenatal damage, infection, diseases and toxins, brain injury and congenital disabilities.…”

Section: Introductionmentioning

confidence: 99%

Online Knowledge-Based Expert System (Kbes) for Psychological Diseases Diagnosis

Al-Hajji¹,

AlSuhaibani²,

Alharbi³

2019

Artificial Intelligence (AI) is one of computer science branches and is used to solve problems with symbolic reasoning. Expert systems (ESs) are one of the prominent research domains of AI. We developed declarative, online procedural rule-based expert system models for psychological diseases diagnosis and classification. The constructed system exploited computer as an intelligent and deductive tool. This system diagnoses and treats more than four types of psychiatric diseases, i.e., depression, anxiety disorder, obsessive-compulsive disorder, and hysteria. The system helps psychology practitioner and doctors to diagnose the condition of a patient efficiently and in short time. It is also very useful for the patients who cannot go to a doctor because they cannot afford the cast, or they do not have a psychological clinic in their area, or they are ashamed of discussing their situation with a doctor. The system consists of program codes that make a logic decision to classify the problem of the patient. The methodology for developing the declarative model was based on the backward chaining, also called goal-driven reasoning, where knowledge is represented by a set of IF-THEN production rules. The declarative programs were written in the PROLOG. While the design of the procedural model was based on using common languages like PHP, JavaScript, CSS, and HTML. The user of the system will enter the symptoms of the patients through the user interface and the program executes. Then the program links the symptoms to the pre-programmed psychological diseases, and will classify the disease and recommend treatment. The proposed online system link: http://esp-online.site/