Results 21 to 30 of about 16,211 (118)
Prediction Algorithm for State Prediction Model
Journal of Computers, 2012 Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors.
Zili Zhang +3 more
openaire +1 more source
Energies, 2023 This work presents a perspective on deterministic predictive modeling methodologies, which aim at extracting best-estimate values for model responses and parameters along with reduced predicted uncertainties for these best-estimate values. The two oldest
Dan Gabriel Cacuci
doaj +1 more source
Clinical prediction models [PDF]
British Journal of Surgery, 2016 Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
openaire +3 more sources
A predictive coding model of the N400 [PDF]
Cognition, 2023 Abstract The N400 event-related component has been widely used to investigate the neural mechanisms underlying real-time language comprehension. However, despite decades of research, there is still no unifying theory that can explain both its temporal dynamics and functional properties.
Samer Nour Eddine +4 more
openaire +4 more sources
Predictive modeling in reproductive medicine
Reproductive and Developmental Medicine, 2018 The accurate prediction of fertility outcomes is an extremely interesting and challenging task in reproductive medicine. Efforts in this area focus on classic statistical models and newer technologies, including machine learning. The modeling process has
Jing Lin, Xiao-Xi Sun
doaj +1 more source
Aerospace Mission Outcome: Predictive Modeling
Aerospace, 2018 n ...
Ephraim Suhir
doaj +1 more source
Tree-aggregated predictive modeling of microbiome data
Scientific Reports, 2021 Modern high-throughput sequencing technologies provide low-cost microbiome survey data across all habitats of life at unprecedented scale. At the most granular level, the primary data consist of sparse counts of amplicon sequence variants or operational ...
Jacob Bien +3 more
doaj +1 more source
Modeling tumor measurement data to predict overall survival (OS) in cancer clinical trials
Contemporary Clinical Trials Communications, 2021 Introduction: Longitudinal tumor measurements (TM) are commonly recorded in cancer clinical trials of solid tumors. To define patient response to treatment, the Response Evaluation Criteria in Solid Tumors (RECIST) categorizes the otherwise continuous ...
Fang-Shu Ou +3 more
doaj +1 more source
Clinical and Translational Gastroenterology, 2014 Prediction research is becoming increasing popular; however, the differences between traditional explanatory research and prediction research are often poorly understood, resulting in a wide variation in the methodologic quality of prediction research.
Waljee, Akbar K +2 more
openaire +2 more sources
Applied Sciences, 2019 Spatial predictive methods are increasingly being used to generate predictions across various disciplines in environmental sciences. Accuracy of the predictions is critical as they form the basis for environmental management and conservation.
Jin Li
doaj +1 more source