BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
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 ...

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 ...
Journal of Medical Internet Research

Machine Learning Classification of Bipolar Disorder Across Mood States Using Natural Language Processing and Speech Analysis: Observational Study

Objective: This study aimed to (1) develop a machine learning model for BP diagnosis and mood state classification using linguistic and acoustic features, (2) identify features associated with ...