A Nomogram and Heat Map Based on LASSO-Cox Regression for Predicting the Risk of Early-Stage Severe Fever with Thrombocytopenia Syndrome Patients Developing into Critical Illness at 7-Day and 14-Day.

Hanwen Tong,Jun Wang, Naisheng Zhu, Haopeng Li, Yu Zhai,Binxia Shao, Huiying Li,Peng Xia,Yunfei Jiang,Chenxiao Jiang,Yun Liu

JOURNAL OF MEDICAL VIROLOGY（2024）

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critical illness,heat map,least absolute shrinkage and selection operator (LASSO)-Cox regression,nomogram,risk prediction,severe fever with thrombocytopenia syndrome (SFTS)

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