Results 31 to 40 of about 23,967,054 (309)

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

Annals of Internal Medicine, 2019
Prediction relates to estimating the probability of something currently unknown. In the context of medical research, prediction typically concerns either diagnosis (probability of a certain condition being present but not yet detected) or prognosis ...
R. Wolff, K. Moons, R. Riley, P. Whiting, M. Westwood, G. Collins, J. Reitsma, J. Kleijnen, S. Mallett   +8 more
semanticscholar   +1 more source

Predictive Model Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire   +2 more sources

Haze Prediction Model Using Deep Recurrent Neural Network

Atmosphere, 2021
In recent years, haze pollution is frequent, which seriously affects daily life and production process. The main factors to measure the degree of smoke pollution are the concentrations of PM2.5 and PM10.
Kailin Shang, Ziyi Chen, Zhixin Liu, Lihong Song, Wenfeng Zheng, Bo Yang, Shan Liu, Lirong Yin   +7 more
semanticscholar   +1 more source

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

BMC Medicine, 2015
Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their ...
Gary S. Collins, Johannes B Reitsma, Douglas G. Altman, K. Moons   +3 more
semanticscholar   +2 more sources

Modelling: Predictive yield [PDF]

Nature, 2013
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
openaire   +2 more sources

A Haze Prediction Model in Chengdu Based on LSTM

Atmosphere, 2021
Air pollution with fluidity can influence a large area for a long time and can be harmful to the ecological environment and human health. Haze, one form of air pollution, has been a critical problem since the industrial revolution.
Xinyi Wu, Zhixin Liu, Lirong Yin, Wenfeng Zheng, Lihong Song, Jiawei Tian, Bo Yang, Shan Liu   +7 more
semanticscholar   +1 more source

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation [PDF]

Geoscientific Model Development
This study presents the High Order Prediction Environment (HOPE), an automatically differentiable, non-oscillatory finite-volume dynamical core for shallow water equations on the cubed-sphere grid.
L. Zhou, L. Zhou, L. Zhou, W. Xue, X. Shen, X. Shen   +5 more
doaj   +1 more source

Semi-supervised Software Defect Prediction Model Based on Tri-training

KSII Transactions on Internet and Information Systems, 2021
Aiming at the problem of software defect prediction difficulty caused by insufficient software defect marker samples and unbalanced classification, a semi-supervised software defect prediction model based on a tri-training algorithm was proposed by ...
Fanqi Meng, Wenying Cheng, Jingdong Wang
semanticscholar   +1 more source

A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors

Energies, 2021
Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear ...
Jianguo Zhou, Shiguo Wang
semanticscholar   +1 more source

Development and internal validation of a prediction model for the presence of tinnitus in a Dutch population-based cohort

Frontiers in Neurology, 2023
ObjectivesIn this study we aim to develop and internally validate a prediction model on tinnitus experience in a representative sample of the Dutch general population.MethodsWe developed a multivariable prediction model using elastic net logistic ...
Maaike M. Rademaker, Maaike M. Rademaker, Adriana L. Smit, Adriana L. Smit, Robert J. Stokroos, Robert J. Stokroos, Maarten van Smeden, Inge Stegeman, Inge Stegeman   +8 more
doaj   +1 more source