BIOMAT Database Logo BIOMAT Database Logo

Automatic classification of hyperactive children: comparing multiple artificial intelligence approaches. 2011

Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.

Automatic classification of different behavioral disorders with many similarities (e.g. in symptoms) by using an automated approach will help psychiatrists to concentrate on correct disorder and its treatment as soon as possible, to avoid wasting time on diagnosis, and to increase the accuracy of diagnosis. In this study, we tried to differentiate and classify (diagnose) 306 children with many similar symptoms and different behavioral disorders such as ADHD, depression, anxiety, comorbid depression and anxiety and conduct disorder with high accuracy. Classification was based on the symptoms and their severity. With examining 16 different available classifiers, by using "Prtools", we have proposed nearest mean classifier as the most accurate classifier with 96.92% accuracy in this research.

UI MeSH Term Description Entries
D008297 Male Males
D011569 Psychiatric Status Rating Scales Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness. Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003936 Diagnosis, Computer-Assisted Application of computer programs designed to assist the physician in solving a diagnostic problem. Computer-Assisted Diagnosis,Computer Assisted Diagnosis,Computer-Assisted Diagnoses,Diagnoses, Computer-Assisted,Diagnosis, Computer Assisted
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D006948 Hyperkinesis Excessive movement of muscles of the body as a whole, which may be associated with organic or psychological disorders. Hyperactivity, Motor,Hyperkinesia,Hyperkinesia, Generalized,Hyperkinetic Movements,Generalized Hyperkinesia,Generalized Hyperkinesias,Hyperkinesias, Generalized,Hyperkinetic Movement,Motor Hyperactivity,Movement, Hyperkinetic,Movements, Hyperkinetic
D001185 Artificial Intelligence Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language. AI (Artificial Intelligence),Computer Reasoning,Computer Vision Systems,Knowledge Acquisition (Computer),Knowledge Representation (Computer),Machine Intelligence,Computational Intelligence,Acquisition, Knowledge (Computer),Computer Vision System,Intelligence, Artificial,Intelligence, Computational,Intelligence, Machine,Knowledge Representations (Computer),Reasoning, Computer,Representation, Knowledge (Computer),System, Computer Vision,Systems, Computer Vision,Vision System, Computer,Vision Systems, Computer
D001523 Mental Disorders Psychiatric illness or diseases manifested by breakdowns in the adaptational process expressed primarily as abnormalities of thought, feeling, and behavior producing either distress or impairment of function. Mental Illness,Psychiatric Diseases,Psychiatric Disorders,Psychiatric Illness,Behavior Disorders,Diagnosis, Psychiatric,Mental Disorders, Severe,Psychiatric Diagnosis,Illness, Mental,Mental Disorder,Mental Disorder, Severe,Mental Illnesses,Psychiatric Disease,Psychiatric Disorder,Psychiatric Illnesses,Severe Mental Disorder,Severe Mental Disorders
D012720 Severity of Illness Index Levels within a diagnostic group which are established by various measurement criteria applied to the seriousness of a patient's disorder. Illness Index Severities,Illness Index Severity

Related Publications

Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence.
January 2016, BioMed research international,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation.
January 2023, Frontiers in neuroscience,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Classification of hyperactive children.
November 1980, The Medical journal of Australia,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Classification of hyperactive children.
October 1980, The Medical journal of Australia,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Classification of hyperactive children.
April 1980, The Medical journal of Australia,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
HClass: Automatic classification tool for health pathologies using artificial intelligence techniques.
January 2015, Bio-medical materials and engineering,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Artificial intelligence for automatic classification of needle EMG signals: A scoping review.
January 2024, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Artificial Intelligence: Singularity Approaches.
January 2024, Plastic and reconstructive surgery,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET.
January 2021, EJNMMI research,
Mona Delavarian, and Farzad Towhidkhah, and Shahriar Gharibzadeh, and Parvin Dibajnia
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.
April 2019, European journal of cancer (Oxford, England : 1990),
Copied contents to your clipboard!