Breast cancer is the world's second-largest cause of cancer mortality among women. With
the progress of artificial intelligence (AI) in healthcare, the survival rate of breast cancer …

Phishing attacks remain one of the most prevalent cybersecurity threats, affecting individuals
and organizations globally. The rapid evolution of phishing techniques necessitates more …

The exponential advancement witnessed in 5G communication and quantum computing has
presented unparalleled prospects for safeguarding sensitive data within healthcare …

There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …

In this review paper the KDD-Knowledge Discovery in Databases, its process, data mining,
the mining techniques and topics associated with data mining have been discussed. Data …

Securing medical records is a significant task in Healthcare communication. The major
setback during the transfer of medical data in the electronic medium is the inherent difficulty …

Objective: This study aimed to explore how clinical uncertainty influences antibiotic
prescribing practices among township hospital physicians and village doctors in rural …

Automatic medical document classification using machine learning techniques can enhance
the productivity of healthcare services by reducing processing time and cost. This work …

Type 1 Gaucher disease (GD1) is a rare, autosomal recessive disorder caused by
glucocerebrosidase deficiency. Skeletal manifestations represent one of the most …

The Internet of Medical Things (IoMT) has transformed traditional healthcare systems by
enabling real-time monitoring, remote diagnostics, and data-driven treatment. However …