Fingerprints as Predictors of Schizophrenia: A Deep Learning Study.

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 Techno

SUBMITTER: Salvador R 

PROVIDER: S-EPMC10154725 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature