Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

The optimal algorithm, referred to as the OPTIVAN algorithm, was selected and validated using an external cohort (n=268). We evaluated the performance of 4 ML models: gradient boosting machine, random ...
IEEE

Prediction of Land Use and Land Cover Using Google Earth Engine (GEE) and Machine Learning Algorithms: A Review

Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...

Silicon Valley’s two biggest dramas have intersected: LiteLLM and Delve

This is one of those Silicon Valley real-life episodes that seem pulled from the HBO satire show. This week, some really ...
IEEE

Quantum SVM Algorithms for Efficient Defense Against Gradient-Based Adversarial Attacks

The growth of machine learning (ML) has revealed model vulnerabilities to adversarial attacks, where small data perturbations degrade performance. Classical defenses often struggle, especially with ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...