Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach

Hesam Hasanpour,1 Ramak Ghavamizadeh Meibodi,1 Keivan Navi,1 Jamal Shams,2 Sareh Asadi,3 Abolhassan Ahmadiani4 1Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran; 2Behavioral Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Neurobio...

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Autores principales:	Hasanpour H, Ghavamizadeh Meibodi R, Navi K, Shams J, Asadi S, Ahmadiani A
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	Association rule mining Apriori algorithm Obsessive-Compulsive Disorder Treatment response Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/53994df2e5fe4d2ab2321ff7e2e88c0d
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spelling	oai:doaj.org-article:53994df2e5fe4d2ab2321ff7e2e88c0d2021-12-02T03:22:02ZFluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach1178-2021https://doaj.org/article/53994df2e5fe4d2ab2321ff7e2e88c0d2019-04-01T00:00:00Zhttps://www.dovepress.com/fluvoxamine-treatment-response-prediction-in-obsessive-compulsive-diso-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Hesam Hasanpour,1 Ramak Ghavamizadeh Meibodi,1 Keivan Navi,1 Jamal Shams,2 Sareh Asadi,3 Abolhassan Ahmadiani4 1Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran; 2Behavioral Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Neurobiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 4Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran Background: Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder characterized by intrusive thoughts or repetitive behaviors. Clinicians use serotonin reuptake inhibitors (SRIs) for OCD treatment, but 40%–60% of the patients do not respond to them adequately. Here, we described an association rule mining approach for treatment response prediction using an Iranian OCD data set.Patients and methods: Three hundred and thirty OCD patients fulfilling DSM-5 criteria were initially included, but 151 subjects completed their pharmacotherapy which was defined as 12-week treatment with fluvoxamine (150–300 mg). Treatment response was considered as >35% reduction in the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score. Apriori algorithm was applied to the OCD data set for extraction of the association rules predicting response to fluvoxamine pharmacotherapy in OCD patients. We considered the association of each attribute with treatment response using interestingness measures and found important attributes that associated with treatment response.Results: Results showed that low obsession and compulsion severities, family history of mental illness, illness duration less than 5 years, being married, and female were the most associated variables with responsiveness to fluvoxamine pharmacotherapy. Meanwhile, if an OCD patient reported a family history of mental illness and his/her illness duration was less than 5 years, he/she responded to 12-week fluvoxamine pharmacotherapy with the probability of 91%. We also found useful and applicable rules for resistant and refractory patients.Conclusion: This is the first study where association rule mining approach was used to extract predicting rules for treatment response in OCD. Application of this method in personalized medicine may help clinicians in taking the right therapeutic decision. Keywords: data mining, apriori algorithm, family history, refractory patientsHasanpour HGhavamizadeh Meibodi RNavi KShams JAsadi SAhmadiani ADove Medical PressarticleAssociation rule miningApriori algorithmObsessive-Compulsive DisorderTreatment responseNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 15, Pp 895-904 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Association rule mining Apriori algorithm Obsessive-Compulsive Disorder Treatment response Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Association rule mining Apriori algorithm Obsessive-Compulsive Disorder Treatment response Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Hasanpour H Ghavamizadeh Meibodi R Navi K Shams J Asadi S Ahmadiani A Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
description	Hesam Hasanpour,1 Ramak Ghavamizadeh Meibodi,1 Keivan Navi,1 Jamal Shams,2 Sareh Asadi,3 Abolhassan Ahmadiani4 1Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran; 2Behavioral Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Neurobiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 4Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran Background: Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder characterized by intrusive thoughts or repetitive behaviors. Clinicians use serotonin reuptake inhibitors (SRIs) for OCD treatment, but 40%–60% of the patients do not respond to them adequately. Here, we described an association rule mining approach for treatment response prediction using an Iranian OCD data set.Patients and methods: Three hundred and thirty OCD patients fulfilling DSM-5 criteria were initially included, but 151 subjects completed their pharmacotherapy which was defined as 12-week treatment with fluvoxamine (150–300 mg). Treatment response was considered as >35% reduction in the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score. Apriori algorithm was applied to the OCD data set for extraction of the association rules predicting response to fluvoxamine pharmacotherapy in OCD patients. We considered the association of each attribute with treatment response using interestingness measures and found important attributes that associated with treatment response.Results: Results showed that low obsession and compulsion severities, family history of mental illness, illness duration less than 5 years, being married, and female were the most associated variables with responsiveness to fluvoxamine pharmacotherapy. Meanwhile, if an OCD patient reported a family history of mental illness and his/her illness duration was less than 5 years, he/she responded to 12-week fluvoxamine pharmacotherapy with the probability of 91%. We also found useful and applicable rules for resistant and refractory patients.Conclusion: This is the first study where association rule mining approach was used to extract predicting rules for treatment response in OCD. Application of this method in personalized medicine may help clinicians in taking the right therapeutic decision. Keywords: data mining, apriori algorithm, family history, refractory patients
format	article
author	Hasanpour H Ghavamizadeh Meibodi R Navi K Shams J Asadi S Ahmadiani A
author_facet	Hasanpour H Ghavamizadeh Meibodi R Navi K Shams J Asadi S Ahmadiani A
author_sort	Hasanpour H
title	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
title_short	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
title_full	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
title_fullStr	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
title_full_unstemmed	Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
title_sort	fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach
publisher	Dove Medical Press
publishDate	2019
url	https://doaj.org/article/53994df2e5fe4d2ab2321ff7e2e88c0d
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Fluvoxamine treatment response prediction in obsessive-compulsive disorder: association rule mining approach

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