Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …

Evolution of modern technologies like data science and machine learning has opened the
path for healthcare communities and medical institutions, to detect the diseases earliest as …

As quoted recently, this is the age of information, and for information we need data. Data is
everywhere around us and it is expanding dramatically. The aim of this research is to inspect …

Causality as a phenomenon still seems to be an old and open issue as the philosophy itself.
Discovering such relationships among data, in most of cases results in unsuccessfully effort …

A recent analysis found that ductal carcinoma, another name for breast cancer, is
increasingly prevalent in women any time after puberty. Their brain, bones, liver, lungs, and …

Technological advancements have transformed and revolutionized several fields, including
transportation, agriculture, finance, weather monitoring, etc. Apart from these, healthcare has …

Rapid advancements in machine learning techniques have opened new avenues for
innovative healthcare strategies, particularly in disease prediction. The healthcare sector …

Internet of Things (IoT) involve communication among millions of smart devices. The
massive data produced by ubiquitous smart devices need predictive analysis. This could …

Early detection of critical diseases is a pivotal aspect of modern healthcare, significantly
impacting patient outcomes and healthcare costs. This research paper provides a …

Based on predictive modelling, a disease prediction system determines the user's illness
from the signs they provide as input to the system. The system evaluates the user's …