Prostatectomy incontinence model retains risk prediction over time
A locked LASSO model retained useful discrimination for 12-month urinary incontinence in a later prostatectomy cohort but underestimated absolute risk ...
A locked LASSO model retained useful discrimination for 12-month urinary incontinence in a later prostatectomy cohort but underestimated absolute risk ...
A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...
A temporal validation study found that large language models predicted ADHD diagnoses from parent questionnaires nearly as well as classical ...
Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a stabilized parametric model with ...
Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...
A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...
Researchers in China have developed and internally validated a four-variable nomogram that predicts postpartum fatigue with good accuracy during routine ...
Researchers in cold-region China built explainable machine learning models that identify preschool children with insufficient sleep using routine activity, body-size, ...
Researchers have adapted a two-stage sparse regression method called uniLasso to the UK Biobank, producing polygenic risk scores that match ...
A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from invasive adenocarcinoma with ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine