Background It is predicted that artificial intelligence (AI) will transform nursing across all
domains of nursing practice, including administration, clinical care, education, policy, and …

Background The promise of digital health is principally dependent on the ability to
electronically capture data that can be analyzed to improve decision-making. However, the …

Chronic disease prediction is a critical task in healthcare. Existing studies fulfil this
requirement by employing machine learning techniques based on patient features, but they …

Abstract A Clinical Decision Support System (CDSS) aims to assist physicians, nurses and
other professionals in decision-making related to the patient's clinical condition. CDSSs deal …

For cancer prediction, the prognostic stage is the main factor that helps medical experts to
decide the optimal treatment for a patient. Specialists study prognostic stage information …

Clinical decision support systems (CDSSs) represent the latest technological transformation
in healthcare for assisting clinicians in complex decision-making. Several CDSSs are …

In previous chapters, we have learned that world is revolutionizing every second and
concept of ambient healthy living is taking pace. This chapter presents how the patients …

Featured Application The ontology provides a standalone application for validating cases of
multiple primary tumours against the international rules. The ontology can also be …

Cancer staging system is the most important prognostic factor and performs key role in most
of the cancer subtypes. It helps to interpret patient's prognosis and helps to decide treatment …

Anatomic stage of cancer is a key factor in cancer prognosis and provides vital information in
almost all types of cancer. The anatomic stage used to represent stage of cancer which …