Sentence examples for make prediction from inspiring English sources

Deep learning will be introduced to predict its economic benefits to make prediction more accurate.

More specifically, to be useful in routine clinical practice, a good predictive model should use clinical data, make prediction at a time suitable for making clinical impact, have high accuracy, and use an appropriate definition of asthma.

To compare the methods with the same datasets, all samples in the benchmark dataset S were used to make prediction; that is, two predictors were conducted to predict the target groups of samples in S evaluated by jackknife test.

To conduct a large international study to validate the ADO index that uses age, dyspnoea and FEV1 to predict 3-year mortality and to update it in order to make prediction of mortality in COPD patients as generalisable as possible.

Article summary Article focus We aimed to conduct a large international study to validate the ADO index that uses age, dyspnoea and FEV1 to predict 3-year mortality and to update it in order to make prediction of mortality in chronic obstructive pulmonary disease (COPD) patients as generalisable as possible.

And the methodology most journalists employed was less than scientific (one colleague described theirs as "Mix Caipirinha; make prediction").

This promises to make prediction more reliable, says Daniel Chan, director of the Centre for Biomarker Discovery at Johns Hopkins University in Baltimore, Maryland.

"People who make prediction their business — people who appear as experts on television, get quoted in newspaper articles, advise governments and businesses, and participate in punditry roundtables — are no better than the rest of us," Mr. Menand wrote.

It is the somewhat gratifying lesson of Philip Tetlock's new book, "Expert Political Judgment: How Good Is It? How Can We Know?" (Princeton; $35), that people who make prediction their business — people who appear as experts on television, get quoted in newspaper articles, advise governments and businesses, and participate in punditry roundtables — are no better than the rest of us.

Compared with other models, LLR has the ability to make prediction outside the range of our reference data.

Jin et al. [26] adopted dead reckoning sensors to make prediction, which needs the additional expensive sensors.