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Open access Oct 2026

Global trends and hotspots of the sepsis machine learning prediction model: a bibliometric analysis

Sepsis is a systemic syndrome caused by infection-induced organ dysfunction, and machine learning prediction models have shown important value in the early warning of sepsis. However, the overall research trends, main research topics, and hotspot directions in this field are still not clear. To explore the current deve...

Xin-Tong Wang, Lei Qi, Qin Liu et al. · 0 citations
Open access Oct 2026

Epidemiological characteristics of cervical cancer in Asian populations and risk factor inference based on Mendelian randomization

This study aimed to systematically investigate the epidemiological distribution characteristics and disease burden of cervical cancer (CC) in Asian populations, and to assess the causal relationship between smoking, a key modifiable risk factor, and the incidence of CC based on genetic evidence, thereby providing a sci...

Bing Wu, Qin Liu · 0 citations

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