Ensemble model for Heart Disease Prediction

نویسندگان

چکیده

Natural gums are extracted from different types of natural origins. It is found in the woody elements plants or seed coatings terrestrial environment and also seaweeds marine environment. otherwise called polysaccharides. Nowadays, there has been a remarkable development products, especially that have used for variety purposes such as binders, emulsifying agent suspending agents, etc. In recent years, researchers focused to produce biodegradable, non-toxic, low-cost materials these products help improvement human health provide novel beneficial manner. Moreover, polymers were functional food ancient peoples. this review, investigations developments discussed. Many studies carried out technology pharmaceuticals field using gums. Gums many advantages over synthetic eco-friendly also. We need develop other sources well with modifying existing formulation prospect.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A coronary heart disease prediction model: the Korean Heart Study

OBJECTIVE The objectives of this study were to develop a coronary heart disease (CHD) risk model among the Korean Heart Study (KHS) population and compare it with the Framingham CHD risk score. DESIGN A prospective cohort study within a national insurance system. SETTING 18 health promotion centres nationwide between 1996 and 2001 in Korea. PARTICIPANTS 268 315 Koreans between the ages of...

متن کامل

Heart Disease Risk Prediction Model (hdrpm) Methodology for Diabetic Patients

In the first experiment, presented Naïve Bayes data mining classifier technique has been applied which produces an optimal prediction model using minimum training set to predict the chances of diabetic patient getting heart disease. The diagnosis of diseases plays vital role in medical field. Using diabetic’s diagnosis, the proposed system predicts attributes such as age, sex, blood pressure an...

متن کامل

a novel prediction model for all cause emergency department visits in ischemic heart disease

background: ischemic heart disease (ihd) is the main cause of morbidity and mortality worldwide, and a considerable part of these patients attend to emergency departments, which increases the burden to these busy departments. the aim of this study was to develop a prediction model enabling prediction of all cause emergency department (ed) visits in patients with documented coronary stenosis in ...

متن کامل

Prediction of Stock Market using Ensemble Model

In the modern Digital Era, Data Mining is the powerful area for analyzing the large data sets to get unexpected relationships (models). The analysis of statistical data on sequential data points measured at regular time interval over a period of time is time series analysis. Time series analysis is used in predicting future occurrence of a time based event. One of the main areas where time seri...

متن کامل

An Ensemble Multilabel Classification for Disease Risk Prediction

It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint Decomposition (ELPPJD) method is proposed in this work. First, we transform the multilabel classification into a multiclass classification. Then, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Science progress and research

سال: 2021

ISSN: ['2635-0955']

DOI: https://doi.org/10.52152/spr/2021.145