ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Data Analysis Using Dashboard
Authors
Samrutti Satyavijay Patil , Archana Patil , Pragati Pejlekar
Keywords
Healthcare, disease, data, algorithm, Naïve Bayes, KNN, Prediction, RStudio.
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].
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IJRTI — journal style
"Data Analysis Using Dashboard", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 4, page no.58 - 61, April-2019, Available :https://ijrti.org/papers/IJRTI1904013.pdf
APA — 7th edition
Patil, S. S., Patil, A., & Pejlekar, P. (2019). Data Analysis Using Dashboard. International Journal for Research Trends and Innovation, 4(4), 58 - 61. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013
MLA — 9th edition
Patil, Samrutti Satyavijay, et al. "Data Analysis Using Dashboard." International Journal for Research Trends and Innovation, vol. 4, no. 4, 2019, pp. 58 - 61, https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013.
Chicago — 17th, bibliography
Patil, Samrutti Satyavijay, Archana Patil, and Pragati Pejlekar. "Data Analysis Using Dashboard." International Journal for Research Trends and Innovation 4, no. 4 (2019): 58 - 61. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013.
Harvard — author–date
Patil, S.S., Patil, A. and Pejlekar, P. (2019) 'Data Analysis Using Dashboard', International Journal for Research Trends and Innovation, 4(4), pp. 58 - 61. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013
IEEE — numbered reference
S. S. Patil, A. Patil and P. Pejlekar, "Data Analysis Using Dashboard," IJRTI, vol. 4, no. 4, pp. 58 - 61, Apr. 2019.
Vancouver — biomedical
Patil SS, Patil A, Pejlekar P. Data Analysis Using Dashboard. IJRTI. 2019 Apr;4(4):58 - 61.
AMA — 11th edition
Patil SS, Patil A, Pejlekar P. Data Analysis Using Dashboard. IJRTI. 2019;4(4):58 - 61. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1904013,
author = {Samrutti Satyavijay Patil and Archana Patil and Pragati Pejlekar},
title = {Data Analysis Using Dashboard},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {4},
pages = {58 - 61},
year = {2019},
month = {April},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Patil, Samrutti Satyavijay
AU - Patil, Archana
AU - Pejlekar, Pragati
TI - Data Analysis Using Dashboard
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 4
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013
SP - 58
EP - 61
ER -
Issue
Volume 4 Issue 4,
April-2019
Pages : 58 - 61
Other Publication Details
Paper Reg. ID
IJRTI_180791
Published Paper ID
IJRTI1904013
Downloads
205,632
Research Area
Engineering
Country
MUMBAI, Maharashtra, India
Published
April 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1904013.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1904013
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
