New Two-Stage Regression Framework Tames Multicollinearity and Boosts Prediction Accuracy
Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a stabilized parametric model with ...
Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a stabilized parametric model with ...
A large retrospective benchmark across six countries and more than 70 infectious diseases finds that zero-shot time series foundation models ...
Researchers have built a hybrid machine learning framework that predicts how graphene-enhanced grease heats up, wears down, and transitions between ...
PLOS Neglected Tropical Diseases has retracted a 2025 study on country-level indices in predictive models of helminth infections in Southeast ...
A pilot study from Wuhan Children's Hospital shows that combining IVIM and DCE-MRI perfusion measurements within six hours of hip ...
A neutrosophic neural network approach developed for wafer fabrication can identify which AI-generated factory due dates are unreliable, finding that ...
A new review in the Journal of Neuro-Oncology finds that machine learning, especially multimodal AI, is transforming brain cancer outcome ...
A new study of three undergraduate courses shows that Moodle engagement predicts grades with up to 97 percent accuracy in ...
A new data-driven framework called STREAM models ICU patients as trajectories through a multidimensional physiological space, identifying state outliers whose ...
Researchers developed HALO, a machine-learning framework that predicts antibacterial drug synergy from multi-level bioactivity features while exposing how data leakage ...
A Chinese proof-of-concept study found that a CT radiomics model predicting early response to radiotherapy in elderly esophageal cancer patients ...
A new PLOS Digital Health study shows that simple linear regression models can predict the overall geometry of transradial prosthetic ...
A new Nature Communications study shows that scientific papers, U.S. case law, and patents share similar statistical citation dynamics, which ...
A two-phase study of over 2,500 Jordanian children finds that carefully calibrated simple regression models rival or beat machine-learning approaches ...
Researchers have adapted a two-stage sparse regression method called uniLasso to the UK Biobank, producing polygenic risk scores that match ...
Researchers in Guangzhou built a machine-learning model that combines MRI radiomics and clinical variables to predict lymphovascular invasion in gastric ...
Machine-learning models combining clinical data and chest CT report features can probabilistically classify lung cancer subtypes in patients presenting with ...
A multicenter study of nearly 6,000 ICU patients with gastrointestinal bleeding shows that hourly blood urea nitrogen trajectories during the ...
A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...
A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful ...
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