The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …

Sepsis is a life-threatening disease that is associated with organ dysfunction. It occurs due to
the body's dysregulated response to infection. It is difficult to identify sepsis in its early …

Real-world data are commonly known to contain missing values, and consequently affect
the performance of most machine learning algorithms adversely when employed on such …

Recently, the scientific community has become more interested in solar-driven steam
materials and systems for desalination and disinfection. Solar thermal energy for membrane …

Currently, hydrogen generation is considered a crucial aspect of sustainable energy
production. This paper disscusses the hypothesis that hydrogen generation occurs during …

The structure of a document contains rich information such as logical relations in context,
hierarchy, affiliation, dependence, and applicability. It will greatly affect the accuracy of …

Lung cancer affects the majority of people, due to genetic changes in lung tissues. Several
existing methods on lung cancer detection are utilized with machine learning, but it does not …

In real-world scenarios, most of the collected data are disorganised, and the probability of
getting messy data is more in the data collection. However, retrospective data collected from …

Data and information, being a critical part of the Internet, are vital to network security.
Intrusion Detection System (IDS) is required to preserve confidentiality, data integrity, and …

Cluster analysis has been applied to a wide range of problems as an exploratory tool to
enhance knowledge discovery. Clustering aids disease subtyping, ie identifying …