Nowadays, across the most important problems faced by health centers are those caused by
the existence of patients who do not attend their appointments. Among others, these patients …

No‐show behavior, a distinct form of absenteeism, is often problematic, particularly in the
service industry. Given the growing relevance of the phenomenon in the industry, an …

Introduction: While evidence has been established on the impact of medical appointment
non-attendance on the healthcare system and patient health, previous research has not …

Artificial Intelligence is revolutionizing the world. In the last decades, it is applied in almost
all fields especially in medical prediction. Researchers in artificial intelligence have …

It is critical for healthcare providers to accurately determine lung cancer patients' prognostics
and develop customized treatment plans. However, lung cancer has proven to be a complex …

A hospital appointment system promotes information exchange between hospitals and
patients. Because patients' no-show behaviour wastes medical resources and compromises …

Background No-show to medical appointments has significant adverse effects on healthcare
systems and their clients. Using machine learning to predict no-shows allows managers to …

Background Artificial intelligence (AI) is increasingly used to support general practice in the
early detection of disease and treatment recommendations. However, AI systems aimed at …

No-show appointments in healthcare is a problem faced by medical centers around the
world, and understanding the factors associated with no-show behavior is essential. In …

Background This protocol describes a realist review exploring the problem of “missingness”
in healthcare, defined as the repeated tendency not to take up offers of care that has a …