Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
IEEE

Machine Learning Approaches with Multilingual Bibliographic, Quotation, and Terminology Databases for the Study of the Chinese Buddhist Canon

Abstract: This paper describes machine learning approaches for the study of the Chinese Buddhist Canon with bibliographic, quotation, and terminology databases. The use of these techniques brings ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
IEEE

A Comprehensive Review of intelligent Voice Disorder Diagnosis: Techniques, Databases, and Machine Learning Approaches

Abstract: The diagnosis and monitoring of voice-affecting disorders using machine learning (ML) approaches have garnered significant attention globally. This review highlights the current state of ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
EurekAlert!

Application of machine learning in drug side effect prediction: databases, methods and challenges

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
CEOWORLD magazine

Artificial Intelligence and Machine Learning Approaches for Database Management: A Transformative New Book by Hemanth Gadde

Introduction to the Author and Book’s Relevance: Hemanth Gadde, a respected authority in AI, machine learning, and data management, has recently published a groundbreaking book, Artificial ...
techtimes

AI & Machine Learning in Database Management: Studying Trends and Applications with Nithin Gadicharla

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...
lupus.bmj

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...
Scientific Research Publishing

Patil, A., Mahajan, S., Menpara, J., Wagle, S., Pareek, P., & Kotecha, K. (2024). Enhancing Fraud Detection in Banking by Integration of Graph Databases with Machine Learning ...

ABSTRACT: Fraud remains a pervasive challenge in Nigeria’s public sector, undermining governance, public trust, and economic stability despite extensive reforms and anti-corruption initiatives. This ...