title: ÐÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ ÑÐµÑÐ´ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Detection of heart diseases using data mining methods
Creators: name: ÐÐ°Ð½Ð¸Ð»Ð¾Ð²Ð°, ÐÐ»Ð°Ð´Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÑÐ·ÑÐº R
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð¼ÐµÑÐ¾Ð´ Ð³Ð»Ð°Ð²Ð½ÑÑ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ
Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¹
R language
classification
data mining
principal component analysis
multiple correspondence analysis

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description: The subject of the graduate qualification work: "Detection of heart diseases using data mining methods". The given work is devoted to the prediction of cardiovascular diseases based on 70,000 patient records using data mining with R programming language. The research set the following goals: 1. Study of data mining methods. 2. Study the attributes of the dataset for further interpretation. 3. Data preparation. 4. Data analysis using principal component analysis and multiple correspondence analysis. 5. Forecasting data using various classification methods. 6. Comparison of the effectiveness of the methods. The work was fulfilled based on a set of patient data obtained from the Kaggle website [16]. The set contains 70,000 records with 14 attributes (age, weight, height, cholesterol, etc.). The analysis of this set was carried out using the methods of principal components and multiple correspondence analysis to identify the most influential attributes on the forecast. Further, the data was divided into test and training data for training and testing data mining models. As a result, estimates of the accuracy of classification models were obtained. Based on the data obtained, a conclusion was made about the effectiveness of the classification methods.