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Prediction and projection of heatwaves
Published 2022“…Projected increases in heatwave frequency and severity thus lead to the need for prediction to enhance preparedness and minimize adverse impacts. …”
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202
Predicting cardiovascular disease.
Published 2016“…Since then, development of preventive interventions (pharmaceutical and lifestyle) led to a plethora of prediction models designed to identify those at risk, summarised in the linked systematic review by Damen and colleagues.…”
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203
Clinical prediction models
Published 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).…”
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Making and evaluating predictions
Published 2015“…Statistical models can be used to produce probabilistic predictions of future measurements. This thesis provides an exposition of the process of making and evaluating probabilistic predictions, with an overview of statistical models. …”
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Reliability of decadal predictions
Published 2012“…North Atlantic SSTs are reliably predicted even when the climate trend is removed, consistent with the known predictability for this region. …”
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210
Predictability in community dynamics
Published 2017“…The overall implications are that (1) complex community dynamics may be common and (2) detailed knowledge of past climate change and community states will often be necessary yet sometimes insufficient to make predictions of a community's future state.…”
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211
Elusive return predictability.
Published 2008“…Most of the time the forecasting models perform rather poorly, but there is evidence of relatively short-lived periods with modest return predictability. The short duration of the episodes where return predictability appears to be present and the relatively weak degree of predictability even during such periods makes predicting returns an extraordinarily challenging task.…”
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212
Predicting prices on Ethereum
Published 2022“…The datasets that are utilised are those derived from any cryptocurrency historical data that are used to test the prediction of the model that are developed for this project. …”
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213
Predictable and non-stationary processes of interval PREDICTION BASED ON stochastic differential equations
Published 2019-06-01“…Predictability of such processes is defined. Algorithms of interval prediction in the discrete and continuous time are received.…”
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214
Multi-Objective Predictive Balancing Control of Battery Packs Based on Predictive Current
Published 2016-04-01Subjects: “…predictive current…”
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215
SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure
Published 2018-12-01“…In this study, we present a new machine learning-based method for predicting sumoylation sites called SumSec. To do this, we employed the predicted secondary structure of amino acids to extract two types of structural features from neighboring amino acids along the protein sequence which has never been used for this task. …”
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216
Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools
Published 2023-01-01Subjects: “…flood prediction tools…”
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217
KeyMemoryRNN: A Flexible Prediction Framework for Spatiotemporal Prediction Networks
Published 2021-01-01Subjects: Get full text
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218
Machine Learning-Based Slope Failure Prediction Model Considering the Uncertainty of Prediction
Published 2023-06-01“…Specifically, while they can always provide a prediction value, they fail to provide information about the uncertainty of the prediction results. …”
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The cerebellum is involved in processing of predictions and prediction errors in a fear conditioning paradigm
Published 2019-08-01“…Prediction errors are thought to drive associative fear learning. …”
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A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI
Published 2021-11-01“…Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. …”
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