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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations
Original languageEnglish
Title of host publicationAdvances 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
EditorsHasan Ayaz
PublisherSpringer Verlag
Pages399-410
Number of pages12
ISBN (Print)9783030204723
DOIs
StatePublished - 1 Jan 2020
EventAHFE International Conference on Neuroergonomics and Cognitive Engineering, 2019 and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019 - Washington D.C., United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume953
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Neuroergonomics and Cognitive Engineering, 2019 and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019
CountryUnited States
CityWashington D.C.
Period24/07/1928/07/19

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Keywords

  • Diagnosis prediction
  • ICD-10
  • k-NN
  • Machine learning
  • Mental disorders
  • TF-IDF

Cite this

Morillo, P., Ortega, H., Chauca, D., Proaño, J., Vallejo-Huanga, D., & Cazares, M. (2020). Psycho web: A machine learning platform for the diagnosis and classification of mental disorders. In H. Ayaz (Ed.), Advances 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 (pp. 399-410). (Advances in Intelligent Systems and Computing; Vol. 953). Springer Verlag. https://doi.org/10.1007/978-3-030-20473-0_39