2020
DOI: 10.1016/j.procs.2020.06.017
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Heart Disease Prediction using Exploratory Data Analysis

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Cited by 85 publications
(34 citation statements)
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“…Previous related studies applied different methods for labeling and compiling datasets, as shown in Tables 2 and 3 . In this study, we followed the most frequently used annotation strategy described in the literature (Ibrohim & Budi, 2018 ; Rezvan et al, 2018 ). We asked a judgment group of five Arabic native speakers to label the tweets manually.…”
Section: Methodsmentioning
confidence: 99%
“…Previous related studies applied different methods for labeling and compiling datasets, as shown in Tables 2 and 3 . In this study, we followed the most frequently used annotation strategy described in the literature (Ibrohim & Budi, 2018 ; Rezvan et al, 2018 ). We asked a judgment group of five Arabic native speakers to label the tweets manually.…”
Section: Methodsmentioning
confidence: 99%
“…An exploratory analysis of the variables is carried out to analyze data using a multivariate method. According to [15], This process will allow mainly enhances and identifies the insight into our dataset, determines the correlation among the explanatory variables, identifies the anomalies and builds models. As a result of this analysis, the following is highlighted:…”
Section: Data Processingmentioning
confidence: 99%
“…In the other research, Indrakumari and their colleague using exploratory data analysis to predict heart disease, and they have used big data to gain the information, pattern, and knowledge for decision making [6]. The Exploratory Data Analysis (EDA) can be used to detects some mistakes, find appropriate data, assumptions, and determines the correlations.…”
Section: Related Workmentioning
confidence: 99%
“…The exploratory data analysis we will describes about the statistical and graphical or non-graphical using categories in the dataset. Furthermore, EDA was used to analyze the data with advanced technique to gain information such us expose hidden structure, enhances the insight, identifies anomalies, and builds parsimonious model to test the underlaying assumptions [6]. In addition, we will provide to calculate the statistical formulation such as mean, standard deviation, and quartile.…”
Section: B Exploratory Data Analysismentioning
confidence: 99%