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E-Health Diagnosis System using IoT and Machine Learning

Parth Patel1 , Harshil Shah2 , Hiren V. Mer3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 1153-1162, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.11531162

Online published on Apr 30, 2019

Copyright © Parth Patel, Harshil Shah, Hiren V. Mer . 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: Parth Patel, Harshil Shah, Hiren V. Mer, “E-Health Diagnosis System using IoT and Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.1153-1162, 2019.

MLA Style Citation: Parth Patel, Harshil Shah, Hiren V. Mer "E-Health Diagnosis System using IoT and Machine Learning." International Journal of Computer Sciences and Engineering 7.4 (2019): 1153-1162.

APA Style Citation: Parth Patel, Harshil Shah, Hiren V. Mer, (2019). E-Health Diagnosis System using IoT and Machine Learning. International Journal of Computer Sciences and Engineering, 7(4), 1153-1162.

BibTex Style Citation:
@article{Patel_2019,
author = {Parth Patel, Harshil Shah, Hiren V. Mer},
title = {E-Health Diagnosis System using IoT and Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {1153-1162},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4181},
doi = {https://doi.org/10.26438/ijcse/v7i4.11531162}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.11531162}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4181
TI - E-Health Diagnosis System using IoT and Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Parth Patel, Harshil Shah, Hiren V. Mer
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 1153-1162
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

IOT is the induced structure foundation of openness, transportation and advancement. IOT sharp contraptions can understand the work environments of remote thriving viewing and additionally crisis see structure. It has clear utilization of sharp therapeutic organizations framework. In the human organizations structure the featured techniques and systems that assistance to the masters and investigators and specialists who make stunning contraption which is the up-degree to the present improvement. Undoubtedly, even information mining strategies and ML tally expect a basic work around there. The specialists vivifying their experts work to make programming with the assistance of AI check which can help aces with taking choice concerning both gauge and diagnosing of coronary sickness. The genuine objective of this examination paper is envisioning the coronary disease of a patient using ML estimations and web of web of things.

Key-Words / Index Term

Blood pressure sensor, ESP8266 Wi-Fi module, Health monitoring systems, Heartbeat sensor, Internet of Things(IoT), Machine learning, Smart devices, Temperature sensor

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