Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...

Researchers suggest that they have recovered sequences from ancient works and from letters that may belong to the Renaissance ...

Misreading churn leads to flawed CLV assumptions. Analyze retention over time and identify the customers that actually drive ...

A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Findings indicate that higher minimum wages are linked to reduced maternal hypertensive disorders, emphasizing the impact of ...

Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...

Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Objective Sjögren’s is a chronic systemic autoimmune disease characterised by dryness symptoms (eyes, mouth, skin), alongside ...