Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …

Heart disease (HD) has surpassed all other causes of death in recent years. Estimating
one's risk of develo** heart disease is difficult, since it takes both specialized knowledge …

Prediction of heart diseases on time is significant in order to preserve life. Many
conventional methods have taken efforts on earlier prediction but faced with challenges of …

Globally, over 17 million people annually die from cardiovascular diseases, with heart
disease being the leading cause of mortality in the United States. The ever-increasing …

An accurate way to identify and diagnose cardiovascular diseases in patients is to create a
machine learning-based diagnostic tool called the Smart Analysis of Machine Learning …

Chronic diseases, a global public health challenge, necessitate the deployment of cutting-
edge predictive models for early diagnosis and personalized interventions. This study …

Streamlit is an open-source Python coding framework for building web-applications or “web-
apps” and is now being used by researchers to share large data sets from published studies …

Machine learning (ML) has emerged as a ground-breaking approach for disease
prognostication, garnering considerable attention from researchers in recent times. Although …

Objectives The number of deaths from cardiovascular disease is projected to reach 23.3
million by 2030. As a contribution to preventing this phenomenon, this paper proposed a …