首页> 外文OA文献 >Lesion size affects the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) logistic regression models, the IOTA simple rules and the Risk of Malignancy Index to estimate the risk of malignancy in adnexal masses

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Lesion size affects the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) logistic regression models, the IOTA simple rules and the Risk of Malignancy Index to estimate the risk of malignancy in adnexal masses

机译：病变大小会影响国际卵巢肿瘤分析（IOTA）Logistic回归模型，IOTA简单规则和恶性肿瘤风险指数的诊断性能，以评估附件包块的恶性肿瘤风险

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Di Legge, Alessia; Testa, Antonia Carla; Ameye, L; Van Calster, B; Lissoni, Andrea; Leone, Fiammetta; Savelli, L; Franchi, Domenico; Czekierdowski, A; Trio, D; Van Holsbeke, C; Ferrazzi, E; Scambia, Giovanni; Timmerman, D; Valentin, L;
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1. Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses. [J] . A Di Legge, A C Testa, L Ameye, Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . 2012,第3期

机译：病变大小会影响IOTA Logistic回归模型的诊断性能，IOTA简单规则以及区分良恶性附件包块的恶性指数的风险。
2. Comparison of the diagnostic accuracy of International Ovarian Tumor Analysis simple rules and the risk of malignancy index to discriminate between benign and malignant adnexal masses [J] . Auekitrungrueng Rapeepat, Tinnangwattana Dangcheewan, Tantipalakorn Charuwan, International journal of gynecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics . 2019,第3期

机译：国际卵巢肿瘤分析简单规则诊断准确性的比较及恶性指数的风险，歧视良性和恶性侧态群体
3. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group [J] . Timmerman Dirk, Dirk Timmerman, Van Calster Ben, American Journal of Obstetrics and Gynecology . 2016,第4期

机译：根据国际卵巢肿瘤分析小组的简单规则，预测附件包块的恶性风险
4. Credit risk assessment model of small and medium-sized enterprise based on logistic regression [C] . Hui Sun, Mingyuan Guo IEEE International Conference on Industrial Engineering and Engineering Management . 2015

机译：基于逻辑回归的中小企业信用风险评估模型
5. Development and evaluation of risk prediction models in the presence of correlated markers and non-linear associations between markers and outcomes using logistic regression and net benefit analysis. [D] . Chibnik, Lori Beth. 2009

机译：使用逻辑回归和净收益分析，在存在相关标记以及标记与结果之间存在非线性关联的情况下，开发和评估风险预测模型。
6. Sonographic Assessment of Complex Ultrasound Morphology Adnexal Tumors in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems [O] . Artur Czekierdowski, Norbert Stachowicz, Agata Smoleń, 2021

机译：复杂超声形态的超声形态附近孕妇的超声型患者利用IOTA简单规则风险和ADNEX评分系统
7. Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses [O] . Di Legge, A., Testa, A. C., Ameye, L., 2012

机译：病变大小影响IOTa逻辑回归模型的诊断性能，IOTa简单规则和恶性指数在鉴别良恶性附件肿块中的风险

Lesion size affects the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) logistic regression models, the IOTA simple rules and the Risk of Malignancy Index to estimate the risk of malignancy in adnexal masses

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