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Prediction of Human Health using Decision Tree Technique

S. Divyashree1 , H.R. Divakar2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 805-808, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.805808

Online published on Jun 30, 2018

Copyright © S. Divyashree , H.R. Divakar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Divyashree , H.R. Divakar, “Prediction of Human Health using Decision Tree Technique,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.805-808, 2018.

MLA Style Citation: S. Divyashree , H.R. Divakar "Prediction of Human Health using Decision Tree Technique." International Journal of Computer Sciences and Engineering 6.6 (2018): 805-808.

APA Style Citation: S. Divyashree , H.R. Divakar, (2018). Prediction of Human Health using Decision Tree Technique. International Journal of Computer Sciences and Engineering, 6(6), 805-808.

BibTex Style Citation:
@article{Divyashree_2018,
author = {S. Divyashree , H.R. Divakar},
title = {Prediction of Human Health using Decision Tree Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {805-808},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2259},
doi = {https://doi.org/10.26438/ijcse/v6i6.805808}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.805808}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2259
TI - Prediction of Human Health using Decision Tree Technique
T2 - International Journal of Computer Sciences and Engineering
AU - S. Divyashree , H.R. Divakar
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 805-808
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Now a day’s prediction of diseases is gaining importance in a hospital management system, rather than giving treatment for the diseases after it is being diagnosed. It is better to avoid that in an initial stage, by taking proper suggestions from the doctor. Artificial intelligence and machine learning are used for this purpose, so in this project we are using decision tree technique based on prediction mechanism to predict the future occurring diseases and avoiding that before it is forthcoming. The main aim of using artificial intelligence in healthcare is to analyse relationships between prevention and treatment of the diseases. We survey the current status of artificial intelligence applications in healthcare and discuss its future. This proposed system highlights the use of artificial intelligence for decision making and Prediction of diseases in the medical field. Decision makers should be aware of giving proper treatment for the particular disease and which will be the evolution of the patient during the treatment.

Key-Words / Index Term

Artificial intelligence, machine learning, deep learning, prediction, Image Net, decision tree technique

References

[1]. Paritosh Khubchandani, Kundan Jha, Rohit Bijani, Surah Lala, Pallavi Saindane, ”Medical Prediction using Artificial Intelligence” research article vol.7 issue No 3 2017.
[2]. Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang “artificial intelligence in healthcare: past, present and future” 22 June 2017
[3]. Daniel flagella “machine learning healthcare applications 2018 and beyond” 01 June 2018
[4]. Carlo combi “artificial intelligence in medicine”
[5]. Eman Saleem Ibrahem Harba “Computer-Aided Diagnosis for Lung Diseases based on Artificial Intelligence: A Review to Comparison of Two-Ways: BP Training and PSO Optimization” IJCSMC, Vol. 4, Issue. pg.1121 – 1138 6, June 2015
[6]. Jonathan H. Chen, Steven M. Asch, “Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectation” June 2017
[7]. “Artificial Intelligence for Health and Health Care “ December 2017
[8]. Daniel B. Neill, “Using Artificial Intelligence to Improve Hospital Inpatient Care” March/April 2013
[9]. Gianluca bontempi,“machine learning for predicting in a big data world” August 2017
[10]. Ashish Khare, Moongu Jeon, Ishwar K. Sethi,and Benlian Xu, “Machine Learning Theory and Applications for Healthcare” Volume 2017, Article ID 5263570, 27 September 2017
[11]. Yong Xia, Zexuan Ji, Andrey Krtlov,Hang Chang, and Weidong cai, “machine learning in multimodal medical imaging” volume 2017 article ID 1278329 5 march 2017
[12]. Qing-yun Dai, Chun-ping Zhang and Hao Wu, “Research of decision tree classification algorithm in data mining” vol.9, no.5 2016
[13]. Shikha Chourasia, “Survey paper on improved methods of ID3 decision tree classification” vol.3, issue 12, December 2013
[14]. J y chung,”a new decision tree classification algorithm for machine learning” 06 august 2002
[15]. Alan brown, “Machine learning with decision trees” 14 February 2018