…
comment: The repository administrator has not yet configured an RDF license.
primary topic: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study
type: AcademicArticle
type: Article
abstract: Background and Hypothesis The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potential use of fingerprints as risk markers in schizophrenia. However, the high complexity of fingerprints geometrical patterns may require flexible algorithms capable of characterizing such complexity. Study Design Based on an initial sample of scanned fingerprints from 612 patients with a diagnosis of non-affective psychosis and 844 healthy subjects, we have built deep learning classification algorithms based on convolutional neural networks. Previously, the general architecture of the network was chosen from exploratory fittings carried out with an independent fingerprint dataset from the National Institute of Standards and Technology. The network architecture was then applied for building classification algorithms (patients vs controls) based on single fingers and multi-input models. Unbiased estimates of classification accuracy were obtained by applying a 5-fold cross-validation scheme. Study Results The highest level of accuracy from networks based on single fingers was achieved by the right thumb network (weighted validation accuracy = 68%), while the highest accuracy from the multi-input models was attained by the model that simultaneously used images from the left thumb, index and middle fingers (weighted validation accuracy = 70%). Conclusion Although fitted models were based on data from patients with a well established diagnosis, since fingerprints remain lifelong stable after birth, our results imply that fingerprints may be applied as early predictors of psychosis. Specially, if they are used in high prevalence subpopulations such as those of individuals at high risk for psychosis.
date: 2022
is part of: Schizophrenia Bulletin
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has document: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
subject: Engineering
subject: Psychology

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
type: Document
has file: sbac173.pdf
has part: sbac173.pdf

Schizophrenia Bulletin
type: Collection
issn: 05867614

José Vicente Jauregui Berecibar
type: Person
given name: José
family name: Vicente Jauregui Berecibar

Carlota Botillo-Martín
type: Person
given name: Carlota
family name: Botillo-Martín

Carmen Corte-Souto
type: Person
given name: Carmen
family name: Corte-Souto

Jose Maria Santiago-Bautista
type: Person
given name: Jose
family name: Maria Santiago-Bautista

Emilio Negro-González
type: Person
given name: Emilio
family name: Negro-González

David Porta-Pelayo
type: Person
given name: David
family name: Porta-Pelayo

Mar Fatjó-Vilas Mestre
type: Person
given name: Mar
family name: Fatjó-Vilas Mestre

Isabel Feria-Raposo
type: Person
given name: Isabel
family name: Feria-Raposo

Zoila Rios-Alvarado
type: Person
given name: Zoila
family name: Rios-Alvarado

Francisco del Olmo-Romero
type: Person
given name: Francisco
family name: del Olmo-Romero

Carmen Almodóvar-Payá
type: Person
given name: Carmen
family name: Almodóvar-Payá

Paula Muñoz Hermoso
type: Person
given name: Paula
family name: Muñoz Hermoso

Eglee Castillo-Oramas
type: Person
given name: Eglee
family name: Castillo-Oramas

Manuel Sánchez Perez
type: Person
given name: Manuel
family name: Sánchez Perez

Carlos Rebolleda Gil
type: Person
given name: Carlos
family name: Rebolleda Gil

Maria Guardiola-Ripoll
type: Person
given name: Maria
family name: Guardiola-Ripoll

José Antonio Larraz-Romeo
type: Person
given name: José
family name: Antonio Larraz-Romeo

Jesús Larrubia-Romero
type: Person
given name: Jesús
family name: Larrubia-Romero

Manuel Martín-Carrasco
type: Person
given name: Manuel
family name: Martín-Carrasco

Peter J McKenna
type: Person
given name: Peter J
family name: McKenna

Eva María Castells Bescos
type: Person
given name: Eva
family name: María Castells Bescos

Alfredo Felices de la Fuente
type: Person
given name: Alfredo
family name: Felices de la Fuente

Cora Camaño Serna
type: Person
given name: Cora
family name: Camaño Serna

Clara Bosque Gabarre
type: Person
given name: Clara
family name: Bosque Gabarre

Carmen Feliz Muñoz
type: Person
given name: Carmen
family name: Feliz Muñoz

Tania Aguilar-Valero
type: Person
given name: Tania
family name: Aguilar-Valero

Ana Domínguez Panchón
type: Person
given name: Ana
family name: Domínguez Panchón

Paula Sevillano De La Fuente
type: Person
given name: Paula
family name: Sevillano De La Fuente

Elena Felipe Martínez
type: Person
given name: Elena
family name: Felipe Martínez

David Gil Sanz
type: Person
given name: David
family name: Gil Sanz

Pilar Herrero-Muñecas
type: Person
given name: Pilar
family name: Herrero-Muñecas

Raymond Salvador
type: Person
given name: Raymond
family name: Salvador

María Ángeles García-León
type: Person
given name: María Ángeles
family name: García-León

Izascun Arrece Iriondo
type: Person
given name: Izascun
family name: Arrece Iriondo

Edith Pomarol-Clotet
type: Person
given name: Edith
family name: Pomarol-Clotet

Salvador Sarró
type: Person
given name: Salvador
family name: Sarró

Carlos Martín-Lorenzo
type: Person
given name: Carlos
family name: Martín-Lorenzo

Emilio González-Pablos
type: Person
given name: Emilio
family name: González-Pablos

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
type: Document
is version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is volatile version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is index codes version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has file: indexcodes.txt
has part: indexcodes.txt

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
type: Document
is version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is volatile version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
islightbox thumbnail version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has file: lightbox.jpg
has part: lightbox.jpg

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
type: Document
is version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is volatile version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
ispreview thumbnail version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has file: preview.jpg
has part: preview.jpg

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
type: Document
is version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is volatile version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
ismedium thumbnail version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has file: medium.jpg
has part: medium.jpg

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Otro)
type: Document
is version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
is volatile version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
issmall thumbnail version of: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study (Texto)
has file: small.jpg
has part: small.jpg

HTML Summary of #4914 Fingerprints as Predictors of Schizophrenia: A Deep Learning Study
format: text/html
primary topic: Fingerprints as Predictors of Schizophrenia: A Deep Learning Study

Engineering
type: Concept
preferred label: Ingeniería @es

Psychology
type: Concept
preferred label: Psicología @es