The Internet of Things plays a prominent role in the development of health applications.
Smart gadgets and wireless sensor networks are used to track patients' various health …

The purpose of this research is to create a disease prediction system that can make precise
inferences from user input using machine learning algorithms. The interface of the system …

The heart, as a vital organ, plays a central role in circulating blood throughout the human
body. According to global health organizations, any malfunction in this crucial organ can …

Cardiovascular disease are leading causes of mortality worldwide, accounting for a
substantial fatality rate in recent years, In the last several decades, it has been the number …

Every minute, roughly one person dies from heart disease in the modern era. The heart is
the second most important organ in the human body after the brain. Predicting the …

The utmost prevalent reason of death in worldwide is coronary artery disease, which is
serious health issue for many people accounting for nearly 31% of all fatalities. Patients with …

Cardiovascular disorders represent a general and critical health concern worldwide, which
needs an innovative approaches to increase prediction and prevention strategies. This …

Due to their lifestyle choices and environment, people nowadays suffer from a broad variety
of ailments. Therefore, it becomes crucial to explore the potential for earlier disease …

This paper presents an in-depth analysis on brain stroke prediction using machine learning
based approaches for prediction and classification. We take on a wide range of data …

Anticipating heart illness has continuously been a basic and challenging errand for
healthcare specialists. Hospitals and other clinics offer expensive treatments and operations …