Work

Machine learning for novel phenotyping in schizophrenia

Year: 2025

Type: article

Study design: Observational Study

Source: Schizophrenia Research

DOI: 10.1016/j.schres.2025.08.011

Authors: Natalie Bareis, Yuanjia Wang, Mark Olfson, Tobias Gerhard, Lisa Dixon, T. Scott Stroup

Institutions: New York State Psychiatric Institute, Columbia University, Rutgers, The State University of New Jersey, Rutgers Health

Language: English

Topic: Schizophrenia research and treatment

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: National Institute of Mental Health

Awards: G2941117989, G4700656781

OpenAlex ID: W4414037101

FWCI: 0.623

Cites: 34

Cited by: 1

Related to: 10