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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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0111 · Aug 201719922001200920182026
1 result for “FOBT”
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screeningsstat.ML

A cheap CRC screening method combining FIT, BMI, smoking, and diabetes.

problem Inadequate sensitivity and specificity of current CRC screening methods.
method Ensemble-based classification algorithm considering FIT, BMI, smoking, and diabetes.
result 92% specificity, 89% sensitivity, 90% precision, AUC of .95.
colorectal cancerscreeningensemble learningFOBTstool DNA
2017-08-13abs ↗pdf ↗