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Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Regression doesn't just impact individual players. It can affect the entire league. Welcome to Regression Alert, your weekly ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy by harnessing the body's immune system to target ...
Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.
When AI-assisted coding is 20% slower and almost half of it introduces Top 10-level threats, it’s time to make sure we're not ...
Objectives To estimate the association between maternal perinatal mood and anxiety disorder (PMAD) symptoms and infant health ...
Local infiltration analgesia (LIA) substantially reduces the risk for neuropathic pain (NP) 1 year after total knee arthroplasty (TKA), according to study results published in ACR Open Rheumatology.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Most people have felt it without giving it a name. You are driving, the road is clear, traffic is light, and time seems to ...
Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
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