The number of publications related to Explainable Artificial Intelligence (XAI) has increased
rapidly this last decade. However, the subjective nature of explainability has led to a lack of …

Background: Colorectal cancer (CRC) is now the leading cause of cancer-related deaths
among young Americans. Our study aims to predict early-onset CRC (EOCRC) using …

This chapter presents reviews of published applications of classification models in general
hospital system management, disease-specific applications, genome research, and …

Identifying hotspot words associated with disease symptoms is paramount for disease
prevention and diagnosis. In this study, we propose a novel method for hotspot word …

Objective Transition to paperless records brings new challenges to midwifery practice
across the continuum of woman-centred care. There is limited and conflicting evidence on …

Methods We adopted an established scoping review methodology to examine review
articles published up to May 9, 2022, in Ovid MEDLINE; Ovid Embase; Scopus; the ACM …

Medication errors associated with the Medication Use Process present significant risks and
require effective management. However, current practices do not address these risks. There …

DESIGN AND DEVELOPMENT OF EHR SPECIFIC BLOCK CREATION AND POS
CUSTOMIZATION USING HIERARCHICAL INTERDEPENDENCY APPROACH Page 1 …

The main objective of this research paper is to analyse and define a framework of Artificial
Intelligence (AI) for healthcare. The AI enabled framework based on hospital health data is …

This paper presents a novel approach to predict caries development in dental patients by
analyzing event interval sequences extracted from electronic health records (EHRs) …