Tag: risk prediction

A seven-year study of over 9,000 Chinese adults used explainable machine learning to identify childhood adversity, pain, sleep, and family ...

Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...

A large Japanese community cohort study shows that composite indices combining waist adiposity with glucose and lipid measures can predict ...

A cross-sectional study of 227 patients in Uzbekistan finds that elevated hs-CRP and interleukin-6 levels are independently associated with diabetic ...

Chinese researchers have built a nomogram from serum interleukin-1 beta, interleukin-6, and vitamin D levels that distinguishes complex from simple ...

A population-based nested case-control study finds that circulating miR-335-5p is elevated in diagnosed diabetes but lower before onset, improves two ...

Researchers in Guangzhou have developed and externally validated a seven-variable nomogram that predicts one-, three-, and five-year risk of LDL-C ...

Researchers in Shandong, China, have developed and externally validated machine learning models that use preoperative data to predict complications, prolonged ...

Researchers in China built a six-variable nomogram from national CHARLS survey data that uses logistic regression and SHAP analysis to ...

A machine learning model called Amylo-Detect uses routine electronic health record data to identify patients at risk for cardiac amyloidosis, ...