Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network

Muhammad Yousif; Akifa Abbas; Zahid Hasan; Danish Ali; Muhammad Sarfraz

doi:doi:10.11648/j.iotcc.20210904.11

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Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network

Muhammad Yousif, Akifa Abbas, Zahid Hasan, Danish Ali, Muhammad Sarfraz

Published in Internet of Things and Cloud Computing (Volume 9, Issue 4)

Received: 12 January 2021 Accepted: 21 December 2021 Published: 31 December 2021

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Abstract

A Smart Village Health System (SVHS) understands the infrastructure, facilities, and schemes open to its villager. The Internet of Things (IoT) transforms a village health system into an SVHS using ANN that includes schools, highways, environment, and globalization. It has been designed with the intension to provide basic healthcare facilities to the inhabitant. It also gives information about the chronic diseases by employing Artificial Neural Network (ANN). A SVHS model based on HCV dataset is proposed in this paper. The system is built with cloud and IoT to enable data by means of the patient's input parameters to be collected, indexed and visualized in a smart village. The Levenberg-Marquardt (LM), Bayesian Regularization (BR) and the Scale Conjugate Gradient (SCG) algorithms are implemented with ANN-based approach named as " IoT enabled Smart Village Health System to Predict Chronical Disease empowered with Artificial Neural Network (ToVHS)" in order to develop an efficient and smart CHP model. The evaluation of the proposed method indicates that the SCG algorithm achieves promising results with respect to accuracy and miss rates. The predicted accuracy of the proposed model shows 90.39% performance of CHP on the given factors.

Published in	Internet of Things and Cloud Computing (Volume 9, Issue 4)
DOI	10.11648/j.iotcc.20210904.11
Page(s)	27-32
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

SVHS (Smart Village Health System), IoT (Internet of Things), CHP (Chronical Health Prediction)

References

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APA Style

Muhammad Yousif, Akifa Abbas, Zahid Hasan, Danish Ali, Muhammad Sarfraz. (2021). Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet of Things and Cloud Computing, 9(4), 27-32. https://doi.org/10.11648/j.iotcc.20210904.11

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ACS Style

Muhammad Yousif; Akifa Abbas; Zahid Hasan; Danish Ali; Muhammad Sarfraz. Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput. 2021, 9(4), 27-32. doi: 10.11648/j.iotcc.20210904.11

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AMA Style

Muhammad Yousif, Akifa Abbas, Zahid Hasan, Danish Ali, Muhammad Sarfraz. Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput. 2021;9(4):27-32. doi: 10.11648/j.iotcc.20210904.11

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@article{10.11648/j.iotcc.20210904.11,
  author = {Muhammad Yousif and Akifa Abbas and Zahid Hasan and Danish Ali and Muhammad Sarfraz},
  title = {Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network},
  journal = {Internet of Things and Cloud Computing},
  volume = {9},
  number = {4},
  pages = {27-32},
  doi = {10.11648/j.iotcc.20210904.11},
  url = {https://doi.org/10.11648/j.iotcc.20210904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20210904.11},
  abstract = {A Smart Village Health System (SVHS) understands the infrastructure, facilities, and schemes open to its villager. The Internet of Things (IoT) transforms a village health system into an SVHS using ANN that includes schools, highways, environment, and globalization. It has been designed with the intension to provide basic healthcare facilities to the inhabitant. It also gives information about the chronic diseases by employing Artificial Neural Network (ANN). A SVHS model based on HCV dataset is proposed in this paper. The system is built with cloud and IoT to enable data by means of the patient's input parameters to be collected, indexed and visualized in a smart village. The Levenberg-Marquardt (LM), Bayesian Regularization (BR) and the Scale Conjugate Gradient (SCG) algorithms are implemented with ANN-based approach named as " IoT enabled Smart Village Health System to Predict Chronical Disease empowered with Artificial Neural Network (ToVHS)" in order to develop an efficient and smart CHP model. The evaluation of the proposed method indicates that the SCG algorithm achieves promising results with respect to accuracy and miss rates. The predicted accuracy of the proposed model shows 90.39% performance of CHP on the given factors.},
 year = {2021}
}

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TY  - JOUR
T1  - Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network
AU  - Muhammad Yousif
AU  - Akifa Abbas
AU  - Zahid Hasan
AU  - Danish Ali
AU  - Muhammad Sarfraz
Y1  - 2021/12/31
PY  - 2021
N1  - https://doi.org/10.11648/j.iotcc.20210904.11
DO  - 10.11648/j.iotcc.20210904.11
T2  - Internet of Things and Cloud Computing
JF  - Internet of Things and Cloud Computing
JO  - Internet of Things and Cloud Computing
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2376-7731
UR  - https://doi.org/10.11648/j.iotcc.20210904.11
AB  - A Smart Village Health System (SVHS) understands the infrastructure, facilities, and schemes open to its villager. The Internet of Things (IoT) transforms a village health system into an SVHS using ANN that includes schools, highways, environment, and globalization. It has been designed with the intension to provide basic healthcare facilities to the inhabitant. It also gives information about the chronic diseases by employing Artificial Neural Network (ANN). A SVHS model based on HCV dataset is proposed in this paper. The system is built with cloud and IoT to enable data by means of the patient's input parameters to be collected, indexed and visualized in a smart village. The Levenberg-Marquardt (LM), Bayesian Regularization (BR) and the Scale Conjugate Gradient (SCG) algorithms are implemented with ANN-based approach named as " IoT enabled Smart Village Health System to Predict Chronical Disease empowered with Artificial Neural Network (ToVHS)" in order to develop an efficient and smart CHP model. The evaluation of the proposed method indicates that the SCG algorithm achieves promising results with respect to accuracy and miss rates. The predicted accuracy of the proposed model shows 90.39% performance of CHP on the given factors.
VL  - 9
IS  - 4
ER  -

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Author Information

Muhammad Yousif

School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan
Akifa Abbas

Department of Computer Science, Lahore Garrison University, Lahore, Pakistan
Zahid Hasan

School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan
Danish Ali

School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan
Muhammad Sarfraz

School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan

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APA Style

Muhammad Yousif, Akifa Abbas, Zahid Hasan, Danish Ali, Muhammad Sarfraz. (2021). Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet of Things and Cloud Computing, 9(4), 27-32. https://doi.org/10.11648/j.iotcc.20210904.11

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ACS Style

Muhammad Yousif; Akifa Abbas; Zahid Hasan; Danish Ali; Muhammad Sarfraz. Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput. 2021, 9(4), 27-32. doi: 10.11648/j.iotcc.20210904.11

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AMA Style

Muhammad Yousif, Akifa Abbas, Zahid Hasan, Danish Ali, Muhammad Sarfraz. Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput. 2021;9(4):27-32. doi: 10.11648/j.iotcc.20210904.11

Copy | Download

@article{10.11648/j.iotcc.20210904.11,
  author = {Muhammad Yousif and Akifa Abbas and Zahid Hasan and Danish Ali and Muhammad Sarfraz},
  title = {Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network},
  journal = {Internet of Things and Cloud Computing},
  volume = {9},
  number = {4},
  pages = {27-32},
  doi = {10.11648/j.iotcc.20210904.11},
  url = {https://doi.org/10.11648/j.iotcc.20210904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20210904.11},
  abstract = {A Smart Village Health System (SVHS) understands the infrastructure, facilities, and schemes open to its villager. The Internet of Things (IoT) transforms a village health system into an SVHS using ANN that includes schools, highways, environment, and globalization. It has been designed with the intension to provide basic healthcare facilities to the inhabitant. It also gives information about the chronic diseases by employing Artificial Neural Network (ANN). A SVHS model based on HCV dataset is proposed in this paper. The system is built with cloud and IoT to enable data by means of the patient's input parameters to be collected, indexed and visualized in a smart village. The Levenberg-Marquardt (LM), Bayesian Regularization (BR) and the Scale Conjugate Gradient (SCG) algorithms are implemented with ANN-based approach named as " IoT enabled Smart Village Health System to Predict Chronical Disease empowered with Artificial Neural Network (ToVHS)" in order to develop an efficient and smart CHP model. The evaluation of the proposed method indicates that the SCG algorithm achieves promising results with respect to accuracy and miss rates. The predicted accuracy of the proposed model shows 90.39% performance of CHP on the given factors.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network
AU  - Muhammad Yousif
AU  - Akifa Abbas
AU  - Zahid Hasan
AU  - Danish Ali
AU  - Muhammad Sarfraz
Y1  - 2021/12/31
PY  - 2021
N1  - https://doi.org/10.11648/j.iotcc.20210904.11
DO  - 10.11648/j.iotcc.20210904.11
T2  - Internet of Things and Cloud Computing
JF  - Internet of Things and Cloud Computing
JO  - Internet of Things and Cloud Computing
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2376-7731
UR  - https://doi.org/10.11648/j.iotcc.20210904.11
AB  - A Smart Village Health System (SVHS) understands the infrastructure, facilities, and schemes open to its villager. The Internet of Things (IoT) transforms a village health system into an SVHS using ANN that includes schools, highways, environment, and globalization. It has been designed with the intension to provide basic healthcare facilities to the inhabitant. It also gives information about the chronic diseases by employing Artificial Neural Network (ANN). A SVHS model based on HCV dataset is proposed in this paper. The system is built with cloud and IoT to enable data by means of the patient's input parameters to be collected, indexed and visualized in a smart village. The Levenberg-Marquardt (LM), Bayesian Regularization (BR) and the Scale Conjugate Gradient (SCG) algorithms are implemented with ANN-based approach named as " IoT enabled Smart Village Health System to Predict Chronical Disease empowered with Artificial Neural Network (ToVHS)" in order to develop an efficient and smart CHP model. The evaluation of the proposed method indicates that the SCG algorithm achieves promising results with respect to accuracy and miss rates. The predicted accuracy of the proposed model shows 90.39% performance of CHP on the given factors.
VL  - 9
IS  - 4
ER  -

Copy | Download