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 ...
ascopubs.org

Developing a deep learning algorithm to support decision making for the classification of microsatellite instability (MSI) in cancer, using artificial intelligence(AI).

Incorporating precision oncology in everyday clinical practice: First two years of comprehensive genomic profiling (CGP) testing experience in Croatia. This is an ASCO Meeting Abstract from the 2024 ...
Nanowerk

Researchers develop neural network for large-scale celestial object classification

Differences in SEDs, spectroscopic features, and spatial morphologies among various types of celestial objects. From top to bottom, the examples shown correspond to a galaxy, a quasar, and a star. The ...
Electronic Design

Applying Edge AI to DC Arc Fault Detection (Part 2): Software Development to Deployment

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...