Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
about
A mathematical model for interpretable clinical decision support with applications in gynecology.Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies.Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator.Adnexal masses suspected to be benign treated with laparoscopyDetection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.Chronic pain reconsideredComparison of the risk of malignancy index and self-constructed logistic regression models in preoperative evaluation of adnexal masses.Preoperative evaluation of adnexal masses.Effect of cancer prevalence on the use of risk-assessment cut-off levels and the performance of mathematical models to distinguish malignant from benign adnexal masses.Triaging women with ovarian masses for surgery: observational diagnostic study to compare RCOG guidelines with an International Ovarian Tumour Analysis (IOTA) group protocol.Sensitivity and specificity can change in opposite directions when new predictive markers are added to risk models.
P2860
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P2860
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
@en
type
label
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
@en
prefLabel
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
@en
P2093
P356
P1476
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.
@en
P2093
Suykens JA
Timmerman D
Valentin L
Van Calster B
Van Holsbeke C
Van Huffel S
P2860
P304
P356
10.1002/UOG.3996
P577
2007-05-01T00:00:00Z