WAM-DT: A web application to diagnose mental disorders using decision trees

Highlights • About 800 million people suffer from mental or behavioral illnesses, which represents more than one in ten people. • We present a web application to support mental health professionals to identify symptoms and diagnose mental disorders. • This application applies standardized diagnostic...

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Autores principales:	Gustavo Lemos, Rodrigo Rocha Silva, Jorge Bernardino
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Mental illness Diagnosis Decision tree Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/cef464a4d9f04cd9bf465db257523efd
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spelling	oai:doaj.org-article:cef464a4d9f04cd9bf465db257523efd2021-11-10T04:43:32ZWAM-DT: A web application to diagnose mental disorders using decision trees2666-990010.1016/j.cmpbup.2021.100039https://doaj.org/article/cef464a4d9f04cd9bf465db257523efd2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666990021000380https://doaj.org/toc/2666-9900Highlights • About 800 million people suffer from mental or behavioral illnesses, which represents more than one in ten people. • We present a web application to support mental health professionals to identify symptoms and diagnose mental disorders. • This application applies standardized diagnostic methods through decision trees, reducing the administration time and providing an instant classification. • Users do not need to have knowledge in programming languages or machine learning.AbstractMental and behavioral disorders are identified and diagnosed by clinical methods that include a detailed description of symptoms collected from the individual and others, including the family, a clinical examination to define mental status, specialized tests and examinations. Diagnostic methods based on structured interviews are considered one of the best approaches for gathering and analyzing symptoms. Therefore, we propose WAM-DT, a Web Application that implements a classification binary tree (CBT) analysis to diagnose mental disorders symptoms, which allows healthcare professionals to create their own questionnaires and generate their own decision trees based on the data collected from their patients.Gustavo LemosRodrigo Rocha SilvaJorge BernardinoElsevierarticleMental illnessDiagnosisDecision treeComputer applications to medicine. Medical informaticsR858-859.7ENComputer Methods and Programs in Biomedicine Update, Vol 1, Iss , Pp 100039- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mental illness Diagnosis Decision tree Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Mental illness Diagnosis Decision tree Computer applications to medicine. Medical informatics R858-859.7 Gustavo Lemos Rodrigo Rocha Silva Jorge Bernardino WAM-DT: A web application to diagnose mental disorders using decision trees
description	Highlights • About 800 million people suffer from mental or behavioral illnesses, which represents more than one in ten people. • We present a web application to support mental health professionals to identify symptoms and diagnose mental disorders. • This application applies standardized diagnostic methods through decision trees, reducing the administration time and providing an instant classification. • Users do not need to have knowledge in programming languages or machine learning.AbstractMental and behavioral disorders are identified and diagnosed by clinical methods that include a detailed description of symptoms collected from the individual and others, including the family, a clinical examination to define mental status, specialized tests and examinations. Diagnostic methods based on structured interviews are considered one of the best approaches for gathering and analyzing symptoms. Therefore, we propose WAM-DT, a Web Application that implements a classification binary tree (CBT) analysis to diagnose mental disorders symptoms, which allows healthcare professionals to create their own questionnaires and generate their own decision trees based on the data collected from their patients.
format	article
author	Gustavo Lemos Rodrigo Rocha Silva Jorge Bernardino
author_facet	Gustavo Lemos Rodrigo Rocha Silva Jorge Bernardino
author_sort	Gustavo Lemos
title	WAM-DT: A web application to diagnose mental disorders using decision trees
title_short	WAM-DT: A web application to diagnose mental disorders using decision trees
title_full	WAM-DT: A web application to diagnose mental disorders using decision trees
title_fullStr	WAM-DT: A web application to diagnose mental disorders using decision trees
title_full_unstemmed	WAM-DT: A web application to diagnose mental disorders using decision trees
title_sort	wam-dt: a web application to diagnose mental disorders using decision trees
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/cef464a4d9f04cd9bf465db257523efd
work_keys_str_mv	AT gustavolemos wamdtawebapplicationtodiagnosementaldisordersusingdecisiontrees AT rodrigorochasilva wamdtawebapplicationtodiagnosementaldisordersusingdecisiontrees AT jorgebernardino wamdtawebapplicationtodiagnosementaldisordersusingdecisiontrees
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WAM-DT: A web application to diagnose mental disorders using decision trees

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