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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 84

Article Submitted : 7748

Article Published : 3948

Total Authors : 10260

Total Reviewer : 547

Total Countries : 81

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Paper Title: Data Analysis Using Dashboard
Authors Name: Samrutti Satyavijay Patil , Archana Patil , Pragati Pejlekar
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Published Paper Id: IJRTI1904013
Published In: Volume 4 Issue 4, April-2019
Abstract: Nowadays Healthcare is one of the biggest sectors in India. The biomedical sector generating enamors amount of data each year. This data generated by the Healthcare sector can be used to get meaningful insight about patient, disease which help in improve healthcare system. Accurate study of medical dataset benefits early disease prediction. When the quality of medical data is incomplete the exactness of study is reduced. Hence, we need data completeness. In proposed system it provides machine learning algorithm for prediction of various diseases [1]. It is used to predict Healthcare disease datasets at an early stage. One of our main objectives is to predict disease data. Currently many hearts, diabetics, blood pressure rate diseases are increase throughout world. To group and predict symptoms in medical data, various data mining techniques are used. In this system R Tool and RStudio is used, the predictive algorithms used are Naïve Bayes and KNN. By using this algorithm, we make a model combining Techniques/method in one in order to increase the performance and accuracy. We calculated the accuracy using Naïve Bayes and KNN algorithms. The algorithm with high accuracy is used for prediction. The exactness of our proposed algorithm will be good and high [1].
Keywords: Healthcare, disease, data, algorithm, Naïve Bayes, KNN, Prediction, RStudio.
Cite Article: "Data Analysis Using Dashboard", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.4, Issue 4, page no.58 - 61, April-2019, Available :
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1904013
Registration ID:180791
Published In: Volume 4 Issue 4, April-2019
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Page No: 58 - 61
Country: MUMBAI, Maharashtra, India
Research Area: Engineering
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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