首页> 外文会议>2018 2nd International Conference on Inventive Systems and Control >Predicting the chances of occurrence of Cardio Vascular Disease (CVD) in people using classification techniques within fifty years of age
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Predicting the chances of occurrence of Cardio Vascular Disease (CVD) in people using classification techniques within fifty years of age

机译:使用分类技术预测五十岁以下人群发生心血管疾病(CVD)的机会

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The changing lifestyle, food habits and other bad habits like smoking, drinking has lead people to heart attack at young age. This paper aims in predicting the likelihood of cardiac disease in people based on the attributes such as the age, sex, cp, trestbps, chol, fbs, restecg, thalac, exang, oldpeak, slope, ca, thal. The data of existing patients within fifty years of age has to be collected and trained. Classification algorithms like Naive Bayes algorithms is applied to develop a model. This model will form a basis for predicting the chances of occurrence of CVD. If a person's data are given the classifier will predict if he is liable to CVD or not. The output is a binary classification which will give 1 or 0; 1 being the chances to occur and 0 being the chances not to occur.
机译:不断变化的生活方式,饮食习惯和其他不良习惯,例如吸烟,饮酒,使人们在年轻时容易罹患心脏病。本文旨在根据年龄,性别,cp,trestbps,chol,fbs,restecg,thalac,exang,oldpeak,lope,ca,thal等属性来预测人们患心脏病的可能性。必须收集和训练50岁以内的现有患者数据。分类算法(如朴素贝叶斯算法)可用于开发模型。该模型将为预测CVD发生的机会奠定基础。如果给出一个人的数据,分类器将预测他是否容易患CVD。输出为二进制分类,将给出1或0;否则为0。 1是发生的机会,0是不发生的机会。

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