Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.
about
A mathematical model for interpretable clinical decision support with applications in gynecology.Towards an evidence-based approach for diagnosis and management of adnexal masses: findings of the International Ovarian Tumour Analysis (IOTA) studiesEvaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.Clinical data miner: an electronic case report form system with integrated data preprocessing and machine-learning libraries supporting clinical diagnostic model research.Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies.A pilot study investigating changes in neural processing after mindfulness training in elite athletes.Clinical scoring for diagnosis of acute lower abdominal pain in female of reproductive age.Mucinous borderline ovarian tumor: a case report with diagnostic insights on ultrasound findingsRisk prediction with machine learning and regression methods.Extending the c-statistic to nominal polytomous outcomes: the Polytomous Discrimination Index.Triaging women with ovarian masses for surgery: observational diagnostic study to compare RCOG guidelines with an International Ovarian Tumour Analysis (IOTA) group protocol.Assessing the discriminative ability of risk models for more than two outcome categories
P2860
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P2860
Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@ast
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@en
type
label
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@ast
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@en
prefLabel
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@ast
Polytomous diagnosis of ovaria ...... -based risk prediction models.
@en
P2093
P2860
P356
P1476
Polytomous diagnosis of ovaria ...... l-based risk prediction models
@en
P2093
Antonia C Testa
Caroline Van Holsbeke
Dirk Timmerman
Lil Valentin
Sabine Van Huffel
P2860
P2888
P356
10.1186/1471-2288-10-96
P577
2010-10-20T00:00:00Z
P5875
P6179
1018706639