Research progress in prediction models of depression and bipolar disorder based on machine learning algorithms

Authors

Li Hu (ORCID: https://orcid.org/0000-0003-1453-0996)
Lei Shi (ORCID: https://orcid.org/0000-0001-5555-341X)
Yu Zheng (ORCID: https://orcid.org/0000-0002-1837-6730)
Fengquan Xu
Shuangyi Hou

Publication Details

Journal: Chinese Science Bulletin (Chinese Version)
Published: 2025-11-01
DOI: https://doi.org/10.1360/csb-2025-5347
Primary Topic: Bipolar Disorder and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Research progress in prediction models of depression and bipolar disorder based on machine learning algorithms

Li Hu, Lei Shi, Yu Zheng, Fengquan Xu et al.

Nov 1, 2025

Chinese Science Bulletin (Chinese Version)

Bipolar Disorder and Treatment

article

Research progress in prediction models of depression and bipolar disorder based on machine learning algorithms

Li Hu, Lei Shi, Yu Zheng, Fengquan Xu, Shuangyi Hou

November 1, 2025article en

Abstract

No abstract available for this paper.

Chinese Science Bulletin (Chinese Version)

Openalex Percentile: Top 59%

Bipolar Disorder and Treatment

DOI Source OpenAlex

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.

Research progress in prediction models of depression and bipolar disorder based on machine learning algorithms — Li Hu, Lei Shi, et al. · Chinese Science Bulletin (Chinese Version) (2025) | TGRS Research Map | TGRS