CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Health Care: Diseases diagnosis Improvement using Optimization Techniques

by Harman Ali, Imran Ali Khan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 16
Year of Publication: 2018
Authors: Harman Ali, Imran Ali Khan
10.5120/ijca2018917837

Harman Ali, Imran Ali Khan . Health Care: Diseases diagnosis Improvement using Optimization Techniques. International Journal of Computer Applications. 182, 16 ( Sep 2018), 28-32. DOI=10.5120/ijca2018917837

@article{ 10.5120/ijca2018917837,
author = { Harman Ali, Imran Ali Khan },
title = { Health Care: Diseases diagnosis Improvement using Optimization Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 182 },
number = { 16 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number16/29949-2018917837/ },
doi = { 10.5120/ijca2018917837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:37.951177+05:30
%A Harman Ali
%A Imran Ali Khan
%T Health Care: Diseases diagnosis Improvement using Optimization Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 16
%P 28-32
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Health is a potential state in which someone performs well, both mentally and physically living within one inhabits environment. In this paper we proposed a new model for the improving the health care and diagnosis system using machine learning techniques, classification results of data which is available in the form of big data, here we measured the classification rate of various patients and related diseases diagnosis system for the improving the rate of early detection of any diseases at early stages.

References
  1. Min Chen, Yixue Hao, Kai Hwang, Lu Wang, And Lin Wang, “Disease Prediction by Machine Learning Over Big Data From Healthcare Communities” Special Section On Healthcare Big Data, Vol-5, IEEE, 2017. Pp 8869-8879.
  2. Sudha Ram, Wenli Zhang, Max Williams, Yolande Pengetnze, “Predicting Asthma-Related Emergency Department Visits Using Big Data”, IEEE Journal of Biomedical and Health Informatics, vol. 19, 2015. Pp 1216-1218.
  3. Marco Viceconti, Peter Hunter, and Rod Hose, “Big Data, Big Knowledge: Big Data for Personalized. Healthcare”, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 19,, 2015. Pp 1209-1215.
  4. Javier Andreu-Perez, Carmen C. Y. Poon, Robert D. Merrifield, Stephen T. C. Wong, and Guang-Zhong Yang,” Big Data for Health”, IEEE Journal of Biomedical And Health InformaticS, VOL. 19, 2015. Pp 1193-1206.
  5. Yin Zhang, Meikang Qiu, Chun-Wei Tsai, Mohammad Mehedi Hassan, Atif Alamri, “Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data”, IEEE Systems Journal, 2015. Pp 1-9.
  6. Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, Kayvan Najarian, “Big Data Analytics in Healthcare”, Hindawi Publishing Corporation Bio-Medical Research International, 2015. Pp 1-17.
  7. Wullianallur Raghupathi, Viju Raghupathi, “Big data analytics in healthcare: promise and Potential”, Raghupathi and Raghupathi Health Information Science and Systems 2014. Pp 1-10.
  8. Michael K. K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey, “Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets”, IEEE Vol-104, 2016. Pp 176-197.
  9. Daniele Ravı, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang,” Deep Learning for Health Informatics”, Ieee Journal Of Biomedical and Health Informatics, VOL. 21, 2017. Pp 4-21.
  10. Michael J. Paul, Abeed Sarker, John s. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen l. Smith, Graciela Gonzalez, “social media mining for public health monitoring and surveillance”, Pacific Symposium on Biocomputing 2016. Pp 468-477.
  11. Zoubin Ghahramani, “Probabilistic machine learning and arti_cial intelligence”, 2015. Pp 1-24.
  12. Ruogu Fang, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar, “Computational Health Informatics in the Big Data Age: A Survey”, ACM Computing Surveys, Vol. 49, 2016. Pp 1-36.
  13. Gunasekaran Manogaran, Chandu Thota, Daphne Lopez, V. Vijayakumar, Kaja M. Abbas and Revathi Sundarsekar, “Big Data Knowledge System in Healthcare”, 2017. Pp 133-158.
  14. Rahul C. Deo, “Machine Learning in Medicine”, 2017. Pp 1920-1931.
  15. Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley, “Deep learning for healthcare: review, opportunities and Challenges”, Briefings in Bioinformatics, 2017, Pp 1-11.
  16. Ji-Jiang Yang, Jianqiang Li, Jacob Mulder, Yongcai Wang, Shi Chen, Hong Wu, Qing Wang, Hui Pan, “Emerging information technologies for enhanced healthcare’, Elsevier ltd. 2015. Pp 3-11.
  17. Majid Ghonji Feshki and Omid Sojoodi Shijani “Improving the Heart Disease Diagnosis by Evolutionary Algorithm of PSO and Feed Forward Neural Network”, IEEE, 2016, Pp 48-53.
Index Terms

Computer Science
Information Sciences

Keywords

Health Care Data Mining Machine learning CDSS

Powered by PhDFocusTM