Results 41 to 50 of about 97,906 (220)
Introduction The purpose of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in undifferentiated pleomorphic sarcoma (UPS) patients at 3, 5, and 8 years after the diagnosis.
Fengshuo Xu +7 more
doaj +1 more source
Introduction and Objectives: Assessment of liver inflammation plays a vital role in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate a nomogram to predict severe liver inflammation in AIH patients.
Zhiyi Zhang +17 more
doaj +1 more source
Background Patients with HBsAg-positive gastric cancer (GC) are a heterogeneous group, and it is not possible to accurately predict the overall survival (OS) in these patients.
Yi He +5 more
doaj +1 more source
Objective To construct and validate a clinically accurate and histology-specific nomogram to predict overall survival (OS) among liposarcoma (LPS) patients.
Shuai Cao +6 more
doaj +1 more source
Background Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical ...
Xinye Li +6 more
doaj +1 more source
A Nomogram for Predicting Patent Foramen Ovale-Related Stroke Recurrence
BackgroundThe high prevalence of patent foramen ovale (PFO) in cryptogenic stroke suggested a stroke-causing role for PFO. As risk factors for recurrence of such stroke are not recognized, clinicians cannot sufficiently identify, treat, and follow-up ...
Zhuonan Wu +6 more
doaj +1 more source
Ke Zhang,* Songwei Feng,* Yu Ge, Bo Ding, Yang Shen Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People’s Republic of China*These authors contributed equally to this ...
Zhang K, Ding B, Ge Y, Shen Y, Feng S
core
Hai-Liang Yuan,1 Xian Zhang,2 Dong-Zhu Peng,1 Guan-Bin Lin,1 Hui-Hui Li,1 Fang-Xian Li,1 Jing-Jing Lu,1 Wei-Wei Chu1 1Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, Zhejiang, People’s ...
Yuan HL +7 more
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A machine learning model for distinguishing Kawasaki disease from sepsis
KD is an acute systemic vasculitis that most commonly affects children under 5 years old. Sepsis is a systemic inflammatory response syndrome caused by infection.
Chi Li +6 more
doaj +1 more source
Fei Meng, Qin Wu, Wei Zhang, Shirong Hou Department of Ultrasound, Xuan Cheng City Central Hospital, Xuancheng, Anhui, People’s Republic of ChinaCorrespondence: Fei Meng, Xuan Cheng City Central Hospital, No.
Meng F, Zhang W, Wu Q, Hou S
core

