Enhancing happiness and life satisfaction in university students: analysis with a machine learning approach

The machine learning approach demonstrates good predictive performance, thus may offer new thoughts for supporting SWB among university students, such as strengthening interpersonal relationships and fostering future confidence.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2025-12-09
DOI
https://doi.org/10.1186/s40359-025-03809-3
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing happiness and life satisfaction in university students: analysis with a machine learning approach

Zeng Cao, Jia Guo, Xiaotian Li, Anna Axelin et al.
BMC Psychology
Psychological Well-being and Life Satisfaction
article

Enhancing happiness and life satisfaction in university students: analysis with a machine learning approach

Zeng Cao, Jia Guo, Xiaotian Li, Anna Axelin, Qing Long, Zheng Feng, Yuning Wang
article en

Abstract

The machine learning approach demonstrates good predictive performance, thus may offer new thoughts for supporting SWB among university students, such as strengthening interpersonal relationships and fostering future confidence.

BMC PsychologyVol. 14(1)
Central South University (CN), University of Turku (FI), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 56%
Psychological Well-being and Life Satisfaction
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.