An Extensive Dataset for the Heart Disease Classification System

Finding a good data source is the first step toward creating a database. Cardiovascular illnesses (CVDs) are the major cause of death worldwide. CVDs include coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other heart and blood vessel problems. According to the World Health Organization, 17.9 million people die each year. Heart attacks and strokes account for more than four out of every five CVD deaths, with one-third of these deaths occurring before the age of 70. A comprehensive database for factors that contribute to a heart attack has been constructed. The main purpose here is to collect characteristics of Heart Attack or factors that contribute to it. The size of the dataset is 1319 samples, which have nine fields, where eight fields are for input fields and one field for an output field. Age, gender, heart rate (impulse), systolic BP (pressurehight), diastolic BP (pressurelow), blood sugar(glucose), CK-MB (kcm), and Test-Troponin (troponin) are representing the input fields, while the output field pertains to the presence of heart attack (class), which is divided into two categories (negative and positive); negative refers to the absence of a heart attack, while positive refers to the presence of a heart attack.遴选优质数据源是构建数据库的首要步骤。心血管疾病（Cardiovascular Illnesses, CVDs）是全球范围内的主要致死病因，此类疾病涵盖冠心病、脑血管疾病、风湿性心脏病及其他心脏与血管病变。据世界卫生组织统计，每年约有1790万人死于心血管疾病，其中五分之四以上的死亡病例为心脏病发作与中风，且三分之一的死亡发生在70岁之前。本研究已构建一套针对心脏病发作相关风险因素的综合数据库，其核心目标为收集心脏病发作的相关特征及其诱因。 本数据集共包含1319个样本，涵盖9个字段，其中8个为输入特征字段，1个为输出标签字段。输入特征包括年龄、性别、心率（impulse）、收缩压（pressurehight）、舒张压（pressurelow）、血糖（glucose）、肌酸激酶同工酶（CK-MB, kcm）以及心肌肌钙蛋白检测（Test-Troponin, troponin）；输出标签为心脏病发作状态（class），分为阴性与阳性两类：阴性代表未发生心脏病发作，阳性代表已发生心脏病发作。