European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
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 ...
Analytics Insight

What Should an AI/ML Beginner Learn First: Python, Machine Learning or Generative AI?

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

[Part 1] What is the AI foundation "Machine Learning"? Explaining the mechanism and 3 learning methods

Estimated reading time: approx. 3 minutes 30 secondsWhen researching AI, you often see the terms "machine learning" and "deep ...
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

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 ...

Machine Learning with ChatGPT: Attempting Canon Short Selling with SVM

SVM, which can intelligently separate dataI read the following book the other day.“Gradually Understanding Machine Learning” ...
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 ...