Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
GitHub

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models

After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...
IEEE

Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection

We propose a method for learning a classifier that accurately predicts both instance and bag classes in multiple instance learning (MIL) for anomaly detection, achieving significant performance ...
IEEE

Transformer and Large Language Models for Automatic Multiple-Choice Question Generation: A Systematic Literature Review

Abstract: Developing multiple-choice questions manually requires a lot of time and effort. Automatic multiple-choice question generation is one of the solutions to alleviate the problem. The research ...