CMAJ

Machine learning prediction of premature death from multimorbidity among people with ...

Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...
Devdiscourse

AI credit card fraud detection models overstate accuracy

The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Apple's research explains how AI can identify bugs in code and generate QE tests

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...
Indiatimes

Early EEG data, machine learning can help predict antidepressant treatment response, finds ...

Chennai: Data from the neurophysiological test, electroencephalography (EEG), used to measure and record the brain's electrical activity, can predict if treatment such as stimulation or ...