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

A new Applied Intelligence study proposes UOMC, a multi-view classification model that quantifies view-specific uncertainty and reports accuracy gains on benchmark datasets.

A retrospective case-control study from a single Chinese hospital built an internally validated machine learning model using ...

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

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

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Reading the PCCT Liver Lesion Radiomics StudyIn my previous article, I posed the question of whether we could consider spectral representations suited to diagnostic tasks, rather than just comparing ...

A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...

MBTI Personality Prediction using Natural Language Processing and Machine Learning. - Jay00066/Personality_Prediction_NLP_ML ...