2x2 contingency Tables & additional statistics.

(DOCX)</p

Subgroup analyses of the performance of the machine-learned predictor.

Subgroup analyses of the performance of the machine-learned predictor.</p

Performance of the machine-learned predictor.

Performance of the machine-learned predictor.</p

Feature values.

(XLSX)</p

Propensity matching.

(DOCX)</p

Histogram of study population LVEDP.

Histogram of study population LVEDP.</p

STARD checklist.

(DOCX)</p

Features.

(DOCX)</p

Performance while varying the definition of LVEDP elevation and non-elevation.

a) the definition of elevation is held constant at ≥25mmHg, while the definition of non-elevation is varied from ≤12mmHg to ≤24mmHg, and the ROC curves assessed for each scenario. b) the definition of both elevation and non-elevation are varied from ≥13-25mmHg and ≤12-24mmHg, respectively, and the corresponding AUCs represented as a heatmap.</p

Feature permutation importance.

(DOCX)</p