Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …

Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one
of the infectious diseases with the highest global mortalities. Chest radiography is a …

Definition Predictive modeling is a complex methodology that involves leveraging advanced
mathematical and computational techniques to forecast future occurrences or outcomes …

Deep Learning (DL) has gained enormous popularity recently; however, it is an opaque
technique that is regarded as a black box. To ensure the validity of the model's prediction, it …

Deep neural networks have become increasingly popular for analyzing ECG data because
of their ability to accurately identify cardiac conditions and hidden clinical factors. However …

Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

Single locus (Mendelian) diseases are a leading cause of childhood hospitalization,
intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome …

Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …

Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis
or monitoring are based on expert knowledge and rule-centered algorithms. In recent years …

Aims Recent trial data demonstrate beneficial effects of active rhythm management in
patients with atrial fibrillation (AF) and support the concept that a low arrhythmia burden is …