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 ...
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 ...
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 ...

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 ...