Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression.
about
A framework for elucidating regulatory networks based on prior information and expression data.Does a prediction model for pregnancy of unknown location developed in the UK validate on a US population?Prediction of outcome in women with symptomatic first-trimester pregnancy: focus on intrauterine rather than ectopic gestation.Diagnostic value of serum hCG on the outcome of pregnancy of unknown location: a systematic review and meta-analysis.Diagnosing ectopic pregnancy and current concepts in the management of pregnancy of unknown location.Performance of human chorionic gonadotropin curves in women at risk for ectopic pregnancy: exceptions to the rules.Modulation of the endocannabinoid system in viable and non-viable first trimester pregnancies by pregnancy-related hormones.The clinical performance of the M4 decision support model to triage women with a pregnancy of unknown location as at low or high risk of complications.The term "pregnancy of unknown location" is here to stay.Predicting outcomes in pregnancies of unknown location.Comparison of a Bayesian network with a logistic regression model to forecast IgA nephropathy.Bayesian networks: a new method for the modeling of bibliographic knowledge: application to fall risk assessment in geriatric patients.Association between three-dimensional transvaginal sonographic markers and outcome of pregnancy of unknown location: a pilot study.Diagnostic value of detection of serum β-HCG and CT-IgG combined with transvaginal ultrasonography in early tubal pregnancy.
P2860
Q31132647-EF1382D2-575A-410D-AF28-57E6CD1E856BQ34129306-3341352D-147B-4668-8A02-381AFC12F2ACQ34155945-3B0AA6B9-54AE-4A5D-9D75-C58CD100F5C7Q34298080-211C65B5-861E-4252-BABA-44E4C2F5870FQ34375947-A4737E6C-470C-4AB5-A4E7-C39BB3C72DB9Q35635090-61ABBD9C-57F3-4897-92E5-69908CAEF4BFQ35698171-48367B06-5A66-4819-9C9A-8676E13DB626Q36991848-D3450234-68DB-4E93-AF20-AABB5547F09FQ37259158-8C59AB16-E4B6-41D5-9741-17E6BA5E107FQ37346131-E8B02F79-BF2F-4CB8-A0B3-7D0F94FDAE4EQ37358315-B6E243E9-C5B7-4226-BCFE-A39DAA728EFDQ38075477-60021A92-E7B8-4183-A8BC-1369AC105F50Q39181210-7DC1EB8D-34BD-4D8D-BEAD-2276F2AC6870Q55288283-E9C029B3-8F2E-4CAC-A15B-5B20D0221916
P2860
Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Predicting the outcome of preg ...... mpared to logistic regression.
@en
Predicting the outcome of preg ...... mpared to logistic regression.
@nl
type
label
Predicting the outcome of preg ...... mpared to logistic regression.
@en
Predicting the outcome of preg ...... mpared to logistic regression.
@nl
prefLabel
Predicting the outcome of preg ...... mpared to logistic regression.
@en
Predicting the outcome of preg ...... mpared to logistic regression.
@nl
P2093
P50
P356
P1433
P1476
Predicting the outcome of preg ...... ompared to logistic regression
@en
P2093
Timmerman D
Van Calster B
Van Huffel S
P304
P356
10.1093/HUMREP/DEL083
P407
P577
2006-04-06T00:00:00Z