Fig. 3
From: Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning
SERS-AICS characterization of five cancers with high mortality. ROC curves with covariance matrices-assisted SVM model for distinguishing A 244 lung cancer patients, B 216 colorectal carcinoma patients, C 195 gastric cancer patients, D 203 hepatocellular carcinoma patients, E 193 esophageal carcinoma patients, F 400 mixture cancer patients from 324 healthy controls in the internal cohort. The G accuracy, H sensitivity and I specificity of single or multiple cancers/healthy control, the overall accuracy, sensitivity and specificity of all cancers could reach at 95.81%, 95.87%, 95.40%. The 400 mixed cancer patients were obtained by randomly selecting 80 samples from the five types of cancer each