A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING

A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality.Proper and early diagnosis of this disease is very important.Diagnostic methods and treatments of the disease are so expensive and have many side effects.Therefore, researchers are looking for cheaper ways to diagnose it with high precision.This study aimed

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The weaponization of medicine: Early psychosis in the Black community and the need for racially informed mental healthcare

There is a notable disparity between the observed prevalence of schizophrenia-spectrum disorders in racialized persons in the United States and Canada and White individuals in these same countries, with Black people being diagnosed at higher rates than other groups.The consequences thereof bring a progression of lifelong punitive societal implicati

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Theoretical Examination of the Volume Concentration and Nanoparticles Density Influence on the Convective Heat Transfer Enhancement of Nanofluid in 2D Cavity Including the Square Heater

Nanofluid is one of the solutions of heat transfer, which can apply in devices fields as nuclear power, Nano-electronics systems, and solar fluid heating.In this work, the natural convection of Cu-water nanofluid is examined using the Lattice Boltzmann Method (LBM) as a mesoscopic approach.The main objectives of this work are to study the performan

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The open bar is closed: restructuration of a native parasitoid community following successful control of an invasive pest

The rise of the Asian chestnut gall wasp Dryocosmus kuriphilus in France has benefited the native community of parasitoids originally associated with oak gall wasps by becoming Face an additional trophic subsidy and therefore perturbing population dynamics of local parasitoids.However, the successful biological control of this pest has then led to

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