A clinical prediction model for schizophrenia based on machine learning algorithms

In this study, an auxiliary diagnostic tool for schizophrenia was established using machine learning algorithms combined with routine blood indicators. The logistic regression model demonstrated good performance and can serve as a diagnostic aid for schizophrenia.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2026-01-05
DOI
https://doi.org/10.3389/fmed.2025.1726905
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A clinical prediction model for schizophrenia based on machine learning algorithms

Qiong Gao, Shuzi Chen, Weitian Lu, Dan Li et al.
Frontiers in Medicine
Schizophrenia research and treatment
article

A clinical prediction model for schizophrenia based on machine learning algorithms

Qiong Gao, Shuzi Chen, Weitian Lu, Dan Li, Weifeng Jin, Mengxia Wang, Ping Lin, Qing Chen
article en

Abstract

In this study, an auxiliary diagnostic tool for schizophrenia was established using machine learning algorithms combined with routine blood indicators. The logistic regression model demonstrated good performance and can serve as a diagnostic aid for schizophrenia.

Frontiers in MedicineVol. 12
Shanghai Jiao Tong University (CN), Shanghai Mental Health Center (CN)
Shanghai Municipal Health Commission, Shanghai Jiao Tong University
Gender equality
Openalex Percentile: Top 95%
Schizophrenia research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.