The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …

In order to deduce more appropriate and useful recommendation, it is imperative to
amalgamate additional information such as the features of the user and the item along with …

Abstract Internet of Things (IoT) and Data science have revolutionized the entire
technological landscape across the globe. Because of it, the health care ecosystems are …

Purpose Recommending suitable doctors to patients on healthcare consultation platforms is
important to both the patients and the platforms. Although doctor recommendation methods …

The importance of online recommender systems for drugs, medical professionals, and
hospitals is growing. Today, the majority of people use online consultations for drug …

A health recommender system (HRS) provides a user with personalized medical information
based on the user's health profile. This scoping review aims to identify and summarize the …

Suicide is the 10 th leading cause of death in the US (1999-2019). However, predicting
when someone will attempt suicide has been nearly impossible. In the modern world, many …

Summary Artificial Intelligence (AI) and Machine learning (ML) are the emerging areas that
have a major potential to boost the healthcare services. AI/ML modalities have been …

The volume of healthcare information available on the internet has exploded in recent years.
Nowadays, many online healthcare platforms provide patients with detailed information …