A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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 ...

New Relic Introduces Logs Intelligence to Amplify the Power of Logs With AI New Logs capabilities provide automated, AI-strengthened analysis to accelerate mean time to resolution and incident ...

Background: The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression ...

Progress with data technologies, such machine learning and AI, are increasingly inseparable from discussion and application of genomic and other ‘omic technologies. Our analysis considers the key ...

Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2G3, Canada Division of ...

Want to know why your high-value pages aren’t getting indexed? Or why Google keeps crawling useless parameters over and over and over…but not your blog? Your server logs hold the answers. Yes, they’re ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

Abstract: As organizations grow, the amount of log data from systems such as firewalls, servers, and applications increases, making it difficult to detect cyber security threats manually. Real-world ...

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...