Evaluation of the nomogram model in the training and testing sets.

<p>(A) ROC curve of the nomogram model in the training set; (B) Calibration curve of the nomogram model in the training set; (C) DCA curve of the nomogram model in the training set; (D) ROC curve of the nomogram model in the testing set; (E) Calibration curve of the nomogram model in the testi...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Pan Tang (4411270) (author)
مؤلفون آخرون:	Qi Zhang (28502) (author), Ling-cui Meng (22386132) (author), Miao Chen (213356) (author), Sai-Feng He (22386135) (author), Jian-Xing Zhang (22386138) (author)
منشور في:	2025
الموضوعات:	Medicine Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified probability threshold range personalized treatment planning offering valuable guidance least absolute shrinkage invasive predictive tool independent risk factors guiding treatment strategies 3 positive alns 755 – 0 678 – 0 05 – 0 integrating clinical data reported aln status nomogram model vs derived radiomics features based radiomics nomogram radiomics nomogram model ultrasound imaging features based nomogram nomogram model radiomics features clinical model radiomics model ultrasound imaging best features clinical pathology radiomics score combined model xlink "> ultrasound images tumor burden training set testing set statistically significant serologic markers selection operator selected using roc curve results showed calibration curves 4161 ).
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Evaluation of the nomogram model in the training and testing sets.

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