Machine learning analysis of posturography in panic disorder: a pilot study for objective physiological biomarker identification.

Saved in:

Bibliographic Details
Title:	Machine learning analysis of posturography in panic disorder: a pilot study for objective physiological biomarker identification.
Authors:	Vesco Gaiotto LA; Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil., Aguiar FO; Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.; Artificial Intelligence Research Division, Infinity Doctor's Inc., DE, Miami, FL, United States., Marcon T; Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil., Souza Gallo J; Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil., Marques LM; Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.; Artificial Intelligence Research Division, Infinity Doctor's Inc., DE, Miami, FL, United States., Uchida RR; Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.; Artificial Intelligence Research Division, Infinity Doctor's Inc., DE, Miami, FL, United States.
Source:	Frontiers in psychiatry [Front Psychiatry] 2025 Oct 16; Vol. 16, pp. 1663556. Date of Electronic Publication: 2025 Oct 16 (Print Publication: 2025).
Publication Type:	Journal Article
Journal Info:	Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101545006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-0640 (Print) Linking ISSN: 16640640 NLM ISO Abbreviation: Front Psychiatry Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1664-0640
DOI:	10.3389/fpsyt.2025.1663556