The technological inference in procedures applied to healthcare is frequently investigated in
order to understand the real contribution to decision-making and clinical improvement. In …

Diabetes metilus which is commonly known as diabetes is a major metabolic disorder which
has a severe effect on a human being. Diabetes results in high blood sugar. In a human …

Abstract Domain-driven data mining of health care data poses unique challenges. The aim
of this paper is to explore the advantages and the challenges of a 'domain-led …

Healthcare system facilitates the treatment of patients with the support of wearable, smart,
and handheld devices, as well as many other devices. These devices are producing a huge …

This paper presents a systematic literature review with respect to application of data science
and machine learning (ML) to heart failure (HF) datasets with the intention of generating …

The technique of collecting and analyzing a massive quantity of patient data to obtain
meaningful information was available in a medical big data analysis. In many fields …

Abstract Congestive Heart Failure (CHF) is among the most prevalent chronic diseases
worldwide, and is commonly associated with comorbidities and complex health conditions …

Understanding patients' survival probability as well as the factors affecting it constitute a
significant concern for researchers and practitioners, in particular for patients with severe …

Gait analysis is a common technique used to identify problems related to movement and
posture in people with injuries, and foot-side detection is one of its important challenges. As …