Examples of 'risk prediction' in a sentence
Meaning of "risk prediction"
Risk prediction: The process of estimating the likelihood of a specific event or outcome occurring in the future based on available information and data. Risk prediction is often used in various fields such as finance, healthcare, and insurance to anticipate and manage potential risks
How to use "risk prediction" in a sentence
Basic
Advanced
risk prediction
There are several risk prediction calculators available today.
It also allows more accurately targeted risk prediction.
Work disability risk prediction with machine learning.
The limitations of genetic risk prediction.
A similar risk prediction occurs among coronary disease patients.
It is used frequently in risk prediction models.
Risk prediction models can assist clinicians in making decisions.
New classification improves risk prediction in chronic leukemia.
Risk prediction can be applied both to the population as a whole and to the individual.
Rethinking risk prediction models.
Clinical and radiological data were collected to develop a risk prediction model.
Using the coronary risk prediction chart for primary prevention.
The potential of large studies for building genetic risk prediction models.
Biomarkers for risk prediction of progression of chronic heart failure and mortality.
There was no unified way of using risk prediction in the clinics.
See also
Note that none of the traditional clinical chemistry measures reached statistical significance of risk prediction.
Implications for risk prediction.
C-reactive protein is the best validated inflammatory marker in terms of cardiovascular risk prediction.
Promising applications include suicide risk prediction and clinical management.
Preferably the % risk prediction is carried out within the predictive window mentioned above.
This work is about uncertainty estimation and risk prediction in air quality.
Comparisons of established risk prediction models for cardiovascular disease, systematic review.
This is a prospective observational study to analyze the validity of risk prediction in manually classification.
Risk Prediction based on biological subtype,.
This study proposed an alternative infection risk prediction model for orthopedic surgery patients.
Treatment of cardiovascular risk factors based on disease risk depends on valid risk prediction equations.
In this work, rollover risk prediction is mainly dealt with.
An EU project investigated potential biomarkers for CRC risk prediction.
What is the difference between risk prediction and quality evaluation?
A woman 's hormone levels are currently not included in conventional cancer risk prediction models.
Development and evaluation of innovative risk prediction instruments for identification of high-risk individuals.
AI test trial in Singapore validates ship collision risk prediction technology.
Moving Forward, risk prediction more accurate becomes necessára.
These results will contribute towards a strategy for achieving individualised risk prediction of cardiovascular disease.
Wave Bumper - Ocean risk prediction system and anti-submersion device.
The alternative model performed better than the NNIS model for SSI risk prediction purposes.
Although still investigational, genomic risk prediction models for common diseases are beginning to emerge.
Hitachi 's new AI technology uses deep learning to construct the risk prediction model.
NANDA-I recommends the use of a risk prediction instrument to establish this ND.
Validation analysis of the formula combining ST2 with NT-proBNP for MACE risk prediction.
The EuroSCORE is the most common and important risk prediction model among the existing ones.
In the longer term, it may even be useful for individual-level risk prediction.
Inuit-specific risk prediction scale.
In the long run, it may even be useful for individual-level risk prediction.
Featured Sinnaps services, interactive planning ; risk prediction and management ; resource optimisation ; and expectation management.
Quebec City-Dallas, new study examining the early heart disease risk prediction.
He has been working on risk prediction models and software for prevention since 2004.
Then, researchers developed the model and tested a risk prediction for each patient.
PCSK-9, Entering a new era of cardiovascular risk prediction.
Other potential applications from the ongoing study include risk prediction and prevention of diabetic nephropathy.
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