Hosted on MSN

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
ascopubs.org

Natural Language Processing–Assisted Classification Models to Confirm Monoclonal Gammopathy of Undetermined Significance and Progression in Veterans' Electronic Health Records

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Atlanta Journal-Constitution

Performance-based classification model is worth the headaches for GHSA

THOMASTON — Educators from across Georgia gathered at the GHSA offices Friday morning to discuss an objective that would seem difficult to oppose — arranging the association’s seven classifications to ...
ascopubs.org

Multianalyte Serum Biomarker Panel for Early Detection of Pancreatic Adenocarcinoma

We defined a biologically relevant subspace of blood analytes on the basis of previous identification in premalignant lesions or early-stage PDAC and evaluated each in pilot studies. The 31 analytes ...