Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Background Cancer survivors have an increased risk of heart failure, but this is balanced by the risk of death from other ...

Abstract: In the banking sector, predicting customer loan eligibility is a crucial task. This paper presents a study of using machine learning algorithms to predict loan eligibility of customers based ...

Background: The rapid advancement of technology has brought numerous benefits to public health but has also contributed to a rise in sedentary lifestyles, linked to various health issues. As prolonged ...

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...