In health care industry, data mining plays a very vital role in the prediction of heart diseases. For detecting a disease, number of tests should be required from the patient. But using data mining, the number of tests should be reduced. This reduced test plays an important role in time ...
heart_disease_prediction 心脏病UCI数据集 该实验只是根据心脏病的缺席情况简单地预测心脏病的存在。 1.关于数据集: 该数据集在Kaggle( )上提供。 并且可以从UCI机器学习存储库( )中获得。 数据包含总共14个属性,如下所示。 属性说明 年龄:岁 性别:性别(1 =男性; 0 =女性)...
3. Prediction Results The result displays the prediction (whether heart disease is detected) with a probability score. It also provides an interpretation of the results. Integration with Wearable Devices: Allow users to input data directly from health trackers. ...
Heart_disease_prediction:使用5种算法进行心脏病预测Al**ne 上传11.53 MB 文件格式 zip naive-bayes 心脏病预测 Heart Disease prediction using 5 algorithms - Logistic regression, - Random forest, - Naive Bayes, - KNN(K Nearest Neighbors), - Decision Tree then improved accuracy by adjusting different ...
Heart Disease Prediction A Machine Learning model to predict Heart Disease. Context: This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this ...
Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Review Heart disease prediction system using data mining techniques and intelligent fuzzy approach: a review. International Journal of Computer Applications 2016; 136: 43-51.V. Krishnaiah, G. Narsimha, N....
A data mining approach for prediction of heart disease using neural networks. Int. J. Comput. Eng. Technol., 3(3): 30-40.Chaitrali S. Dangare and Dr. Sulabha S. Apte, "A Data Mining Approach for Prediction of Heart Disease using Neural Networks", International journal of Computer ...
Data mining plays a promising and significant role in this aspect. Data Mining techniques can be used for disease prediction. In this research, the classification based data mining techniques are applied to healthcare data. This research focuses on the prediction of heart disease using three ...
Advanced data mining techniques can help remedy this situation. This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees, Naive Bayes and Neural Network. Results show that each technique has its unique strength in...
heart disease prediction is presented, utilizing a self-attention-based transformer model. This cutting-edge model was created expressly to solve the difficulties in investigating and forecasting cardiac disease. The model successfully captures complex patterns and relationships within the medical data by ...