Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …

Intelligent algorithms based on convolutional neural network (CNN) has demonstrated
remarkable potential in diagnosing bearing faults. However, Accurate and robust fault …

The adoption of Electronic Health Record (EHR) and other e-health infrastructures over the
years has been characterized by an increase in medical errors. This is primarily a result of …

Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …

Patients' waiting time is a major issue in the Canadian healthcare system. The planning for
resource allocation impacts patients' waiting time in medicare settings. This research …

Unpacking and comprehending how black-box machine learning algorithms (such as deep
learning models) make decisions has been a persistent challenge for researchers and end …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

the paper discusses a way of growing the capability of severe deep learning machines
(ELM) for biomedical informatics programs. This technique involves varying the dimensions …

Newspapers contain huge amount of important information on current affairs as well as
notable past events. Browsing the digital versions of newspaper documents will become …