Recommender systems use machine-learning techniques to make predictions about
resources. The medical field is one where much research is currently being conducted on …

Abstract Health 3.0 is a health‐related extension of the Web 3.0 concept. It is based on the
semantic Web which provides for semantically organizing electronic health records of …

Doctor recommendation technology can help patients filter out large number of irrelevant
doctors and find doctors who meet their actual needs quickly and accurately, helping …

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare
Applications introduces and explores a variety of schemes designed to empower, enhance …

Recommendation systems in the online medical sector assist patients in finding appropriate
doctors. This paper aimed to solve the complication in doctors' recommendations …

Finding a suitable health care provider (physicians, clinics, therapeutic centers, etc.) seems
to be a time-consuming and difficult task. Before deciding, the patient should gather input …

Bayesian networks (BNs) have been widely proposed for medical decision support. One
advantage of a BN is reasoning under uncertainty, which is pervasive in medicine. Another …

Over the years, the amount of healthcare data has immensely increased due to
technological development. Although it has provided the user with ease to data access …

The vast increase in mobile technology and more number of location-aware mobile devices
used increases the percentage of data, which is easily available from smart phones and …

Nowadays, a large volume of clinical data spread over several websites on the Internet
makes it difficult for individuals to locate useful information for improving their health …