Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review.
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| Title: | Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review. |
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| Authors: | Castillo-Sánchez G; Department of Signal Theory and Communications, and Telematics Engineering, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain. gemaanabel.castillo@alumnos.uva.es., Marques G; Department of Signal Theory and Communications, and Telematics Engineering, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain.; Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, 3400-124, Oliveira do Hospital, Portugal., Dorronzoro E; Electronic Technology Department, Universidad de Sevilla, Sevilla, Spain., Rivera-Romero O; Electronic Technology Department, Universidad de Sevilla, Sevilla, Spain., Franco-Martín M; University Rio Hortega Hospital, Valladolid, Spain., De la Torre-Díez I; Department of Signal Theory and Communications, and Telematics Engineering, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain. |
| Source: | Journal of medical systems [J Med Syst] 2020 Nov 09; Vol. 44 (12), pp. 205. Date of Electronic Publication: 2020 Nov 09. |
| Publication Type: | Journal Article; Scoping Review |
| Journal Info: | Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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