BIOENGINEER

Hierarchical Machine Learning Framework Classifies Software Design Faults Using Architectural Metrics

A hierarchical machine learning framework integrating design principle metrics achieved ninety-one percent accuracy in ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...

What is Machine Learning? Thinking in terms of the difference between 'writing rules' and 'finding them from examples'

This article is for people whooften see the term "machine learning" in news or service descriptions but cannot clearly ...
The Motley Fool

What Does Classification Mean in Machine Learning?

AI classification sorts data, aiding in tasks like spam detection. Two AI learner types: "lazy" for large, evolving data, "eager" for immediate sorting. In investing, classification helps identify ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
technologynetworks

Quantum Machine Learning Shows Promise for Lung Cancer Prediction

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...