Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease

We present an interpretable machine learning model based on baseline data and simplified risk score for predicting in-hospital MAS in adult patients with Still's disease. To our knowledge, this study represents one of the larger adult cohorts assembled for Still's disease-associated MAS.

Authors

Institutions

Publication Details

Journal
Journal of Translational Autoimmunity
Published
2026-03-14
DOI
https://doi.org/10.1016/j.jtauto.2026.100365
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease

Zile Chen, Yi Zheng, Changyi Yang, Shi Ying et al.
Journal of Translational Autoimmunity
Autoimmune and Inflammatory Disorders Research
article

Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease

Zile Chen, Yi Zheng, Changyi Yang, Shi Ying, Xueyang Cai, Jie Zhao, Jianjun Qiao
article en

Abstract

We present an interpretable machine learning model based on baseline data and simplified risk score for predicting in-hospital MAS in adult patients with Still's disease. To our knowledge, this study represents one of the larger adult cohorts assembled for Still's disease-associated MAS.

Journal of Translational AutoimmunityVol. 12
First Affiliated Hospital Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 21%
Autoimmune and Inflammatory Disorders Research
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.