Ensemble machine learning models for predicting bone metastasis in bladder cancer

The GBM model offers a precise and personalized approach to predicting BCBM, potentially enhancing clinical decision-making and the efficiency of BM screening in patients with BC.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-09-25
DOI
https://doi.org/10.3389/fonc.2025.1653506
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Ensemble machine learning models for predicting bone metastasis in bladder cancer

Tao Zeng, Po‐Lan Su, Hai Chao Chao, Zhengtao Yu et al.
Frontiers in Oncology
Bladder and Urothelial Cancer Treatments
article

Ensemble machine learning models for predicting bone metastasis in bladder cancer

Tao Zeng, Po‐Lan Su, Hai Chao Chao, Zhengtao Yu, Xiang Xu, Xin Chang Zou
article en

Abstract

The GBM model offers a precise and personalized approach to predicting BCBM, potentially enhancing clinical decision-making and the efficiency of BM screening in patients with BC.

Frontiers in OncologyVol. 15
Nanchang University (CN), Second Affiliated Hospital of Nanchang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 58%
Bladder and Urothelial Cancer Treatments
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.