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CARDIOVASCULAR DISEASE DATASET

Original price was: $450.00.Current price is: $10.00.

This heart disease dataset is curated by combining 3 popular heart disease datasets. The first dataset (Collected from Kaggle) contains 70000 records with 11 independent features which makes it the largest heart disease dataset available so far for research purposes. These data were collected at the moment of medical examination and information given by the patient. Second and third datasets contain 303 and 293 intstances respectively with 13 common features. The three datasets used for its curation are:

Cardio Data (Kaggle Dataset)
Cleveland (UCI Machine Learning Repository)
Hungarian (UCI Machine Learning Repository)

Instructions:

This dataset can be used for building a predictive machine learning model for early-stage heart disease detection.

Category: Datasets Tags: Data, Dataset

Description

Table 1: Kaggle cardiovascular disease dataset attributes description with some statistical calculation.

(Total Instances: 70,000)

Serial Number	Variable Description
1	age-int (days) Min: 10798, Max: 23713, Mean: 19468.866, StdDev: 2467.252
2	Height-int (cm) Min: 55, Max: 250, Mean: 164.359, StdDev: 8.21
3	Weight-float (kg) Min: 10, Max: 200, Mean: 74.206, StdDev: 14.396
4	gender-categorical code (f=female, m=male)
5	ap_hi-int Min: -150, Max: 16020, Mean: 128.817, StdDev: 154.011
6	ap_lo-int Min: -70, Max: 11000, Mean: 96.63, StdDev: 188.473
7	Cholesterol-1: normal, 2: above normal, 3: well above normal
8	gluc 1: normal, 2: above normal, 3: well above normal
9	Smoke-binary (1=smoker, 0=non-smoker)
10	Alco-binary (1=yes, 0=no)
11	active-binary (active=1, inactive=0)
	Target- binary (1=Presence = 1, 0=absence of cardiovascular disease)

Three different datasets Cleveland (303 instances), Hungarian (294 instances). These two datasets have been collected from the UCI machine learning repository.

Table 2. Cleveland, and Hungarian heart disease dataset attributes description.

Attributes	Description	Type
Age	Age	Integer
Sex	Sex	Integer 1=male,0=female
Cp	Chest pain type	Integer 1=typical angina, 2=atypical angina, 3=non-anginal pain, 4=asymptomatic
Trestbps	Resting blood pressure	Integer
Chol	Serum cholestoral in mg/dl	Integer
Fbs	Fasting blood sugar	Integer; 1=true, 0=false
Restecg	Resting electrocardiographic results	Integer; [0,2]
Talach	Maximum heart rate achieved	Integer
Exang	Exercise induced angina	Integer; 1= yes, 0=no
Oldpeak	ST depression induced by exercise relative to rest	Real
Slope	The slope of the peak exercise ST segment	Integer
Number of major vessels	Number of major vessels (0-3) colored by flourosopy	Integer
Thal	Thal	Integer
Num	The predicted attribute	Integer; 0=no, 1= yes