using measurements for prediction

USAGE SUMMARY

The phrase "using measurements for prediction" is correct and usable in written English.
It can be used in contexts where you are discussing the application of data or metrics to forecast outcomes or trends. Example: "In our research, we are focusing on using measurements for prediction to enhance the accuracy of our models."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

Predictions are validated using measurements of the displacement flame velocity.

Combustion and Flame

Ervens, B. et al. Prediction of cloud condensation nucleus number concentration using measurements of aerosol size distributions and composition and light scattering enhancement due to humidity.

Nature

: Number of past measurements used for prediction.

EURASIP Journal on Wireless Communications and Networking

(ii) : Number of past measurements used for prediction.  .

EURASIP Journal on Wireless Communications and Networking

Using genome-wide measurements for computational prediction of SH2 peptide interactions.

Harvard University

For example, the impact of variance in expression measurements could be ameliorated by aggregating multiple data points when using multiple genes for prediction [ 9].

BMC Clinical Pathology

The study shows that the IR measurement can be used for prediction of the achieved depth of remelting during a laser remelting, regardless of the coating/substrate thickness ratio.

Surface and Coatings Technology

Ultrasound measurements have been found to correlate well with BMD measurements compared to conventional DXA methods in non-pregnant subjects, and could be used alone for prediction of fracture risks in postmenopausal women [ 9].

Archives of Gynecology and Obstetrics

The robustness of this control structure was studied in the case of setpoint changes and noisy temperature measurement, when the network used for prediction had been trained including noisy data in the training set.

Chemical Engineering Journal

The Tropical Rainfall Measuring Mission (TRMM) satellite data have been used to derive rainfall measurements [ 22] in remote and resource-limited regions and these measurements have been used for predictions for disease outbreaks [ 23].

BMC Medical Informatics and Decision Making

These models are used for prediction.

Journal of Big Data

Expert writing Tips

Best practice

When "using measurements for prediction", ensure that the measurements are accurate, reliable, and relevant to the predicted outcome. Clearly define the relationship between the measurements and the prediction model for transparency and validation.

Common error

Avoid basing predictions solely on single measurements without considering variability, context, or potential confounding factors. Always validate predictions against multiple data points and consider error margins to mitigate inaccuracies.

Linguistic Context

The phrase "using measurements for prediction" functions as a description of a process or method, often found in scientific and technical contexts. Ludwig AI confirms its usability. It indicates the application of quantitative data to forecast future events or outcomes.

Expression frequency: Common

Frequent in

Science

65%

Academia

25%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "using measurements for prediction" is a common and grammatically sound expression, as validated by Ludwig AI, used to describe the process of leveraging quantitative data for forecasting outcomes. Predominantly found in scientific and academic contexts, it conveys a formal and precise approach. Related phrases include "employing metrics for forecasting" and "applying data for predictive analysis". When employing this strategy, it is crucial to use accurate and reliable measurements, avoid over-reliance on single data points, and acknowledge potential limitations. This analysis helps in understanding the linguistic nuances and practical implications of "using measurements for prediction" across various disciplines.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

employing metrics for forecasting

Focuses on the act of using metrics instead of general measurements, highlighting the forecasting aspect.

applying data for predictive analysis

Emphasizes the use of data in the context of predictive analysis, changing the wording while retaining the core meaning.

utilizing metrics to forecast outcomes

Similar to the original but emphasizes the function of metrics in forecasting specific outcomes.

leveraging measurements for predictive modeling

Highlights the use of measurements to create predictive models.

employing data in anticipation of results

Shifts focus to using data to anticipate results, which is a more general form of prediction.

applying metrics to anticipate outcomes

Focuses on metrics and anticipating rather than directly predicting outcomes.

using metrics to determine future trends

Uses metrics to determine future trends, highlighting trend analysis over exact prediction.

forecasting using quantifiable information

Replaces "measurements" with "quantifiable information" but retains the forecasting aspect.

predicting based on quantifiable data

Shortens the phrase, focusing on predicting with quantifiable data as the basis.

utilizing data for projections

Substitutes "measurements" with "data" and "prediction" with "projections", broadening the scope.

FAQs

What are some alternatives to "using measurements for prediction"?

You can use alternatives like "employing metrics for forecasting", "applying data for predictive analysis", or "utilizing metrics to forecast outcomes" depending on the context.

How can the accuracy of predictions based on measurements be improved?

Improving accuracy involves ensuring measurement precision, using appropriate statistical models, validating against independent datasets, and regularly updating models with new data. It's also helpful to consider the limitations and potential biases in the measurement process.

In what fields is "using measurements for prediction" commonly applied?

"Using measurements for prediction" is commonly applied in various fields such as science, engineering, finance, and healthcare, where data-driven insights are essential for forecasting outcomes, optimizing processes, and making informed decisions.

What are the limitations of "using measurements for prediction"?

Limitations include potential biases in measurement techniques, overfitting prediction models to training data, and the risk of ignoring external factors that may influence outcomes. It is essential to acknowledge these limitations and validate predictions with diverse datasets.