Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers.

Dis Markers · 2019 · PMC6374871 · PMID 30838085

Europe PMC DOI

hedged sentence

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closest p

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boldest claim

The sentences

might not be significantno p-value reported

Our model predicted long-term mortality better than GRACE score, but the difference might not be significant, and it requires prospective validation.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.