Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Please provide your email address to receive an email when new articles are posted on . AI and machine learning are becoming household terms. Anyone who invests in the U.S. stock market is familiar ...

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Community driven content discussing all aspects of software development from DevOps to design patterns. In my opinion, one of the most reputable organizations providing credentials is Google, and one ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...