Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …

Abstract Background and Aim Schizophrenia and bipolar disorder (BD) are critical and high‐
risk inherited mental disorders with debilitating symptoms. Worldwide, 3% of the population …

Cancer is a kind of non-communicable disease, progresses with uncontrolled cell growth in
the body. The cancerous cell forms a tumor that impairs the immune system, causes other …

Internet of things is the concept of establishing relationships and interactions with other
connected devices through a network to reach a specific objective. The collected data from …

Owing to the phenomenal growth in communication technology, most of us hardly have time
to read books. This habit of reading is slowly diminishing because of the busy lives of …

Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …

Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E.
coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify …

Schizophrenia diagnosis, characterized by cognitive deficits, hallucinations, and delusions,
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …

Employee attrition is a great challenge for every organization. The growth of any
organization directly depends on talented employees. Each employee is considered as a …

Background: The aim of this study is to explore an objective approach that aids the
diagnosis of bipolar disorder (BD), based on optical coherence tomography (OCT) data …