Use machine learning to predict bone metastasis of esophageal cancer: A population-based study

We have successfully developed an online calculator utilizing a LR model to assist clinicians in accurately assessing the risk of BM in patients with EC. This tool demonstrates high accuracy and specificity, thereby enhancing the development of personalized treatment plans.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-04-01
DOI
https://doi.org/10.1177/20552076251325960
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use machine learning to predict bone metastasis of esophageal cancer: A population-based study

Jia Zhou, Jun Wan
Digital Health
Esophageal Cancer Research and Treatment
article

Use machine learning to predict bone metastasis of esophageal cancer: A population-based study

Jia Zhou, Jun Wan
article en

Abstract

We have successfully developed an online calculator utilizing a LR model to assist clinicians in accurately assessing the risk of BM in patients with EC. This tool demonstrates high accuracy and specificity, thereby enhancing the development of personalized treatment plans.

Digital HealthVol. 11
Yangtze University (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Good health and well-being
Openalex Percentile: Top 89%
Esophageal Cancer 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.