Psycho web: A machine learning platform for the diagnosis and classification of mental disorders

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3 Citas (Scopus)

Resumen

In this paper, we present the development of a platform to collect data from cases diagnosed with mental disorders. It includes the use of a Machine Learning classification algorithm, k-NN with TF-IDF, to automatically identify the type of mental disorder suffered by a patient given his/her symptoms, when evaluated by a mental health professional. The platform called “Psycho Web” has a friendly web interface that will allow ergonomic interaction between the mental health professional and the system. The dataset used for the initial evaluation of our platform is composed of 114 instances in total, 56% of which were obtained from the taxonomy proposed by ICD-10. The rest of the instances correspond to real cases, whose symptoms and diagnoses were taken by professionals who voluntarily collaborated with the project. A raw application of the algorithm to the data available shows results with errors that go down to 5%.

Idioma originalInglés
Título de la publicación alojadaAdvances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019
EditoresHasan Ayaz
EditorialSpringer Verlag
Páginas399-410
Número de páginas12
ISBN (versión impresa)9783030204723
DOI
EstadoPublicada - 1 ene 2020
EventoAHFE International Conference on Neuroergonomics and Cognitive Engineering, 2019 and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019 - Washington D.C., Estados Unidos
Duración: 24 jul 201928 jul 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen953
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaAHFE International Conference on Neuroergonomics and Cognitive Engineering, 2019 and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019
País/TerritorioEstados Unidos
CiudadWashington D.C.
Período24/07/1928/07/19

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

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