Nature

Development and evaluation of a multi-model stacking approach for caries risk assessment in adults using supervised machine learning

Background Dental caries is a chronic disease that requires intervention to prevent complications and minimise costs. Accurate caries risk assessment is crucial but traditional methods depend on ...
Nature

Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability

Quantum machine learning (QML) has emerged as a promising paradigm for solving complex classification problems by leveraging the computational advantages of quantum systems. While most traditional ...

Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
News Medical

Machine learning model predicts liver cancer risk with high accuracy

Bottom line: A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
InsuranceNewsNet

New Machine Learning Study Findings Reported from Youngstown State University (Machine Learning and Frequency-Severity Decomposition for Insurance Pricing): Machine Learning

By a News Reporter-Staff News Editor at Insurance Daily News-- Current study results on artificial intelligence have been published. According to news reporting out of Youngstown, Ohio, by NewsRx ...
News Medical

AI-driven model predicts type 1 diabetes risk with greater accuracy

Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...
C&EN

Machine learning helps improve accuracy and efficiency of small-molecule calculations

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
InfoWorld

10 machine learning mistakes and how to avoid them

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...