SAP Risk Calculator

Patient Data Entry

All 59 lab features supported · blanks are imputed with cohort means

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Loading WASM engine (Pyodide)… Compute via WASM (real Python, not JS)

SI units US conventional (mg/dL)

Inflammatory / Haematological

白细胞 (WBC) 6690-2 10³/µL

中性粒细胞百分比 (Neutrophils %) 770-8 %

淋巴细胞百分比 (Lymphocytes %) 736-9 %

C反应蛋白 (CRP) 1988-5 mg/L

Renal / Metabolic

肌酐 (Creatinine) 2160-0 µmol/L

尿素 (BUN) 3094-0 mmol/L

葡萄糖 (Glucose) 2345-7 mmol/L

钙 (Calcium) 17861-6 mmol/L

Hepatic / Pancreatic

谷丙转氨酶 (ALT) 1742-6 U/L

谷草转氨酶 (AST) 1920-8 U/L

总胆红素 (Total Bilirubin) 1975-2 µmol/L

淀粉酶 (Amylase) 1798-8 U/L

脂肪酶 (Lipase) 3040-3 U/L

乳酸脱氢酶 (LDH) 2532-0 U/L

Coagulation / Haematology

红细胞压积 (Hematocrit) 20570-8 %

D-二聚体测定 (D-dimer) 48065-7 µg/mL FEU

白蛋白 (Albumin) 1751-7 g/L

乳酸 (Lactate) 2524-7 mmol/L

Demographics

年龄 (Age) years

性别 (Sex)

Fields left blank are imputed with cohort means (n=722).

Paste a FHIR R4 Bundle containing Observation resources. Observations are matched by LOINC code and mapped to the corresponding feature.

Random Forest · 200 trees · AUC 0.877

Awaiting input

Optimal Threshold 0.535 (F1-optimised, AUC = 0.877)

Performance at threshold Sensitivity 96.8% · Specificity 38.7% · PPV 87.1%

For research purposes only. Not validated for clinical decision-making. Always apply clinical judgement.