Heart Disease Cleveland UCI

### Context
The data is already presented in [https://www.kaggle.com/ronitf/heart-disease-uci](https://www.kaggle.com/ronitf/heart-disease-uci) but there are some descriptions and values that are wrong as discussed in [https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877](https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877). So, here is re-processed dataset that was cross-checked with the original data [https://archive.ics.uci.edu/ml/datasets/Heart+Disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease).

### Content
There are 13 attributes
1. age: age in years
2. sex: sex (1 = male; 0 = female)
3. cp: chest pain type
-- Value 0: typical angina
-- Value 1: atypical angina
-- Value 2: non-anginal pain
-- Value 3: asymptomatic
4. trestbps: resting blood pressure (in mm Hg on admission to the hospital)
5. chol: serum cholestoral in mg/dl
6. fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
7. restecg: resting electrocardiographic results
-- Value 0: normal
-- Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV)
-- Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria
8. thalach: maximum heart rate achieved
9. exang: exercise induced angina (1 = yes; 0 = no)
10. oldpeak = ST depression induced by exercise relative to rest
11. slope: the slope of the peak exercise ST segment
-- Value 0: upsloping
-- Value 1: flat
-- Value 2: downsloping
12. ca: number of major vessels (0-3) colored by flourosopy
13. thal: 0 = normal; 1 = fixed defect; 2 = reversable defect
and the label
14. condition: 0 = no disease, 1 = disease

### Acknowledgements
Data posted on Kaggle: [https://www.kaggle.com/ronitf/heart-disease-uci](https://www.kaggle.com/ronitf/heart-disease-uci)
Description of the data above: [https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877](https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877)
Original data [https://archive.ics.uci.edu/ml/datasets/Heart+Disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease)

Creators:
Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
University Hospital, Zurich, Switzerland: William Steinbr
Creators:
Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.
Donor: David W. Aha (aha '@' ics.uci.edu) [phone]

### Inspiration
With the attributes described above, can you predict if a patient has heart disease?

{'Context': '该数据集已呈现于[https://www.kaggle.com/ronitf/heart-disease-uci](https://www.kaggle.com/ronitf/heart-disease-uci)，然而，如[https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877](https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877)所述，其中存在一些描述与数值不符。因此，此处提供的是经重新处理的数据集，该数据集已与原始数据进行交叉校验[https://archive.ics.uci.edu/ml/datasets/Heart+Disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease)。', 'Content': '数据集包含13个属性：
1. 年龄：以年为单位计算的年龄
2. 性别：性别（1 = 男性；0 = 女性）
3. cp：胸痛类型
-- 值0：典型心绞痛
-- 值1：非典型心绞痛
-- 值2：非心绞痛性疼痛
-- 值3：无症状
4. trestbps：静息血压（入院时以毫米汞柱为单位）
5. chol：血清胆固醇（mg/dl）
6. fbs：禁食血糖水平是否超过120 mg/dl（1 = 是；0 = 否）
7. restecg：静息心电图结果
-- 值0：正常
-- 值1：存在ST-T波异常（T波倒置和/或ST段升高或降低超过0.05 mV）
-- 值2：根据Estes标准显示可能或确定的左心室肥厚
8. thalach：达到的最大心率
9. exang：运动诱发性心绞痛（1 = 是；0 = 否）
10. oldpeak = 运动引起的ST段下降与静息时的相对值
11. slope：峰值运动ST段的斜率
-- 值0：上升
-- 值1：平坦
-- 值2：下降
12. ca：通过荧光素染色标记的主要血管数量（0-3）
13. thal：0 = 正常；1 = 固定缺陷；2 = 可逆缺陷
标签
14. condition：0 = 无疾病，1 = 疾病', 'Acknowledgements': "Kaggle上发布的数据：[https://www.kaggle.com/ronitf/heart-disease-uci](https://www.kaggle.com/ronitf/heart-disease-uci)
上述数据的描述：[https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877](https://www.kaggle.com/ronitf/heart-disease-uci/discussion/105877)
原始数据：[https://archive.ics.uci.edu/ml/datasets/Heart+Disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease)
创作者：匈牙利心脏病研究所，布达佩斯：Andras Janosi, M.D.
瑞士苏黎世大学医院：William Steinbrunn, M.D.
瑞士巴塞尔大学医院：Matthias Pfisterer, M.D.
美国长滩退伍军人医疗中心及克利夫兰诊所基金会：Robert Detrano, M.D., Ph.D.
捐赠者：David W. Aha (aha '@' ics.uci.edu) [phone]", 'Inspiration': '基于上述属性，能否预测患者是否患有心脏病？'}