The avatar for @jeyabbalas
Jeya Balaji Balasubramanian
AI Researcher in Medicine. All opinions are my own.
Public
Wasm-iCARE
Edited
Sep 17, 2023
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results = icare.validateAbsoluteRiskModel(cleanParams(params, icareModelParameters));
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Object.keys(results)
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`iCARE method used: ${results.method}`
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results.info
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viewof studyDataResults = Inputs.table(results.study_data)
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viewof incidenceRates = Inputs.table(results.incidence_rates)
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results.auc
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results.expected_by_observed_ratio
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results.calibration
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viewof categorySpecificCalibration = Inputs.table(results.category_specific_calibration)
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`
${results.method} results
==============================================

Dataset name: ${results.info.dataset_name}
Model name: ${results.info.model_name}
Risk prediction interval: ${results.info.risk_prediction_interval}
Number of subjects (cases): ${studyDataResults.length} (${studyDataResults.filter(d => d.observed_outcome === 1).length})
Follow-up time (years) [mean, range]: [${describeStatistics(studyDataResults.map(d => d.followup)).mean.toFixed(3)}, (${describeStatistics(studyDataResults.map(d => d.followup)).min}, ${describeStatistics(studyDataResults.map(d => d.followup)).max})]
Baseline age (years) [mean, range]: [${describeStatistics(studyDataResults.map(d => d.study_entry_age)).mean.toFixed(3)}, (${describeStatistics(studyDataResults.map(d => d.study_entry_age)).min}, ${describeStatistics(studyDataResults.map(d => d.study_entry_age)).max})]
E/O [estimate, 95% CI]: ${results.expected_by_observed_ratio.ratio.toFixed(3)} (${results.expected_by_observed_ratio.lower_ci.toFixed(3)}, ${results.expected_by_observed_ratio.upper_ci.toFixed(3)})
`
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`
Absolute risk calibration
--------------------------------
Statistical test: ${results.calibration.absolute_risk.method}
Test statistic: ${results.calibration.absolute_risk.statistic.chi_square.toFixed(3)}
Degrees of freedom: ${results.calibration.absolute_risk.parameter.degrees_of_freedom}
P-value: ${results.calibration.absolute_risk.p_value.toExponential(3)}

Relative risk calibration
--------------------------------
Statistical test: ${results.calibration.relative_risk.method}
Test statistic: ${results.calibration.relative_risk.statistic.chi_square.toFixed(3)}
Degrees of freedom: ${results.calibration.relative_risk.parameter.degrees_of_freedom}
P-value: ${results.calibration.relative_risk.p_value.toExponential(3)}

Model discrimination
--------------------------------
AUC: ${results.auc.auc.toFixed(3)}
95% CI: (${results.auc.lower_ci.toFixed(3)}, ${results.auc.upper_ci.toFixed(3)})
`
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icare = (
await import(
"https://cdn.jsdelivr.net/gh/jeyabbalas/wasm-icare@1.0.0/dist/wasm-icare.js"
)
).loadWasmICARE()
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riskViz = import(
"https://cdn.jsdelivr.net/gh/jeyabbalas/risk-viz@0.0.1/dist/risk-viz.js"
)
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