This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates ...

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

Anisha Jadhav's SPX framework revolutionizes Agile story point estimation. This AI breakthrough, published by IEEE, offers ...

Read more about Coffee industry turns to AI for smarter quality control and flavor consistency on Devdiscourse ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...