The amount of data produced within Health Informatics has grown to be quite vast, and
analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained …

The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

This paper proposes a modified binary particle swarm optimization (MBPSO) method for
feature selection with the simultaneous optimization of SVM kernel parameter setting …

Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …

The increase of age average led to an increase in the demand of providing and improving
the service of healthcare. The advancing of the information and communication technology …

Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …

Background Patients who are readmitted to an intensive care unit (ICU) usually have a high
risk of mortality and an increased length of stay. ICU readmission risk prediction may help …

Intrusion detection is an important part of networked-systems security protection. Although
commercial products exist, finding intrusions has proven to be a difficult task with limitations …

Background Predicting death in a cohort of clinically diverse, multicondition hospitalized
patients is difficult. Prognostic models that use electronic medical record (EMR) data to …