Results 181 to 190 of about 3,050,636 (322)
Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian. [PDF]
PLoS OneWang S, Xu O.
europepmc +1 more source
Confidence interval for micro-averaged F 1 and macro-averaged F 1 scores. [PDF]
Appl Intell (Dordr), 2022 Takahashi K +3 more
europepmc +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
PhotoGEA: An R Package for Closer Fitting of Photosynthetic Gas Exchange Data With Non-Gaussian Confidence Interval Estimation. [PDF]
Plant Cell EnvironLochocki EB +2 more
europepmc +1 more source
The Rey Auditory Verbal Learning Test: Cross-validation of Mayo Normative Studies (MNS) demographically corrected norms with confidence interval estimates. [PDF]
J Int Neuropsychol Soc, 2023 Loring DW +5 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Confidence interval estimation for the difference of censored zero-inflated gamma distributions. [PDF]
Sci RepGuo H, Zhu Y, Qian Y, Wu M.
europepmc +1 more source