Tag: risk prediction

A machine learning model trained on more than 12,000 infant screenings uses twelve clinical and demographic variables to identify which ...

A deep learning model called DROID-RV measures right ventricular size and function from routine echocardiograms and predicts mortality, atrial fibrillation ...

A new study in the Journal of General Internal Medicine uses nationally representative survey data to examine the predicted lung ...

A seven-year study of more than 10,000 arthritis-free Chinese adults found that reported pain, especially at multiple body sites, more ...

A study of 775 SFTS patients shows that a six-biomarker panel and early biomarker trajectories can identify patients at high ...

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 ...

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

A comprehensive BMC Medicine review finds that artificial intelligence and digital health tools show strong potential to transform cardiometabolic care, ...

Researchers used automated machine learning and cluster analysis of Nigeria Malaria Indicator Survey data to predict malaria risk in minors ...

A new PLOS Genetics study shows that shared genetic susceptibility across cancers is modest genome-wide but becomes structured and biologically ...

Researchers in China have built a deep-learning model that fuses CT, MRI, and 3D radiation dose data to predict which ...

Machine learning of structural MRI and mitochondrial haplogroups can moderately predict a maternal family history of Alzheimer's disease, with precuneus ...

A large cohort study of more than 25,000 preterm US infants shows that subdividing traditional small- and appropriate-for-gestational-age birthweight categories ...

A Chinese cohort study of 3,123 women links a higher GGT-to-HDL-cholesterol ratio to coronary heart disease and future cardiovascular events, ...