Results 21 to 30 of about 1,434,136 (298)

Predictive value of clinical features and CT radiomics in the efficacy of hip preservation surgery with fibula allograft

open access: yesJournal of Orthopaedic Surgery and Research, 2023
Background Despite being an effective treatment for osteonecrosis of the femoral head (ONFH), hip preservation surgery with fibula allograft (HPS&FA) still experiences numerous failures.
Peng Xue   +5 more
doaj   +1 more source

The Yield Curve and Predicting Recessions [PDF]

open access: yesSSRN Electronic Journal, 2006
The slope of the Treasury yield curve has often been cited as a leading economic indicator, with inversion of the curve being thought of as a harbinger of a recession. In this paper, I consider a number of probit models using the yield curve to forecast recessions. Models that use both the level of the federal funds rate and the term spread give better
openaire   +2 more sources

Nomogram model for the risk of recurrent episodes of benign infantile convulsions associated with mild gastroenteritis [PDF]

open access: yesXin yixue
Objective To analyze the correlation between recurrent episodes of benign infantile convulsions associated with mild gastroenteritis (BICE) and enterovirus and cytokines, and establish a nomogram prediction model, providing reference for early ...
YAO Junqiang, ZHANG Ling
doaj   +1 more source

Efficient Follow-Up of Exoplanet Transits Using Small Telescopes [PDF]

open access: yes, 2019
11 pages, 5 figures, to be published in PASP, comments welcomeHere, we introduce an online tool for the prediction of exoplanet transit light curves.
Beck, Peter   +4 more
core   +3 more sources

Bayesian prediction of an epidemic curve

open access: yesJournal of Biomedical Informatics, 2009
An epidemic curve is a graph in which the number of new cases of an outbreak disease is plotted against time. Epidemic curves are ordinarily constructed after the disease outbreak is over. However, a good estimate of the epidemic curve early in an outbreak would be invaluable to health care officials.
Jiang, Xia   +3 more
openaire   +2 more sources

Predicting unknown species numbers using discovery curves [PDF]

open access: yesProceedings of the Royal Society B: Biological Sciences, 2007
A common approach to estimating the total number of extant species in a taxonomic group is to extrapolate from the temporal pattern of known species descriptions. A formal statistical approach to this problem is provided. The approach is applied to a number of global datasets for birds, ants, mosses, lycophytes, monilophytes (ferns and horsetails ...
Bebber, D   +4 more
openaire   +3 more sources

A novel type curve for estimating oil recovery factor of gas flooding

open access: yesPetroleum Exploration and Development, 2022
A novel type curve is presented for oil recovery factor prediction suitable for gas flooding by innovatively introducing the equivalent water-gas cut to replace the water cut, comprehensively considering the impact of three-phase flow (oil, gas, water ...
Yong TANG   +8 more
doaj   +1 more source

Bootstrap based uncertainty bands for prediction in functional kriging [PDF]

open access: yes, 2016
The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria   +1 more
core   +3 more sources

Survival Model Predictive Accuracy and ROC Curves

open access: yesBiometrics, 2005
SummaryThe predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, orR2, commonly used for continuous response models, or using extensions of sensitivity and specificity, which are commonly used for binary response models.
Patrick Heagerty, Yingye Zheng
openaire   +5 more sources

Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm

open access: yesScientific Reports, 2021
Osteosarcoma is the most common bone malignancy, with the highest incidence in children and adolescents. Survival rate prediction is important for improving prognosis and planning therapy.
Jiuzhou Jiang   +5 more
doaj   +1 more source

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