Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.9 Issue.1

Submission
Last date
26-Feb-2023
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-9,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Survey on Mining Health Examination Records: A Graph-based Approach
PaperId: :  3605
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3605
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rituja Ashok BibaveAmrutvahini College of Engg.,Sangamner
Dr. Baisa L. GunjalAmrutvahini College of Engg.,Sangamner

Abstract

Computer Engineering
Health examination records, semi-supervised learning, heterogeneous graph extraction
General health examination is an integral part of healthcare in many countries. Identifying the participants at risk is important for early warning and preventive intervention. The fundamental challenge of learning a classification model for risk prediction lies in the unlabeled data that constitutes the majority of the collected dataset. Particularly, the unlabeled data describes the participants in health examinations whose health conditions can vary greatly from healthy to very-ill. There is no ground truth for differentiating their states of health. In this paper, we propose a graph-based, semi-supervised learning algorithm called SHG-Health (Semi-supervised Heterogeneous Graph on Health) for risk predictions to classify a progressively developing situation with the majority of the data unlabeled. An efficient iterative algorithm is designed and the proof of convergence is given. Extensive experiments based on both real health examination datasets and synthetic datasets are performed to show the effectiveness and efficiency of our method.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. "Survey on Mining Health Examination Records: A Graph-based Approach" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 473-476
MLA Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. "Survey on Mining Health Examination Records: A Graph-based Approach." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 473-476.
APA Rituja Ashok Bibave, & Dr. Baisa L. Gunjal. (2017). Survey on Mining Health Examination Records: A Graph-based Approach. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 473-476.
Chicago Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. "Survey on Mining Health Examination Records: A Graph-based Approach." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 473-476.
Oxford Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. 'Survey on Mining Health Examination Records: A Graph-based Approach', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 473-476. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Survey_on_Mining_Health_Examination_Records__A_Graph_based_Approach_ijariie3605.pdf (Accessed : 28 March 2019).
Harvard Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. (2017) 'Survey on Mining Health Examination Records: A Graph-based Approach', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 473-476IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Survey_on_Mining_Health_Examination_Records__A_Graph_based_Approach_ijariie3605.pdf (Accessed : 28 March 2019)
IEEE Rituja Ashok Bibave, and Dr. Baisa L. Gunjal, "Survey on Mining Health Examination Records: A Graph-based Approach," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 473-476, Jan-Feb 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Survey_on_Mining_Health_Examination_Records__A_Graph_based_Approach_ijariie3605.pdf [Accessed : 28 March 2019].
Turabian Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. "Survey on Mining Health Examination Records: A Graph-based Approach." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 (28 March 2019).
Vancouver Rituja Ashok Bibave, and Dr. Baisa L. Gunjal. Survey on Mining Health Examination Records: A Graph-based Approach. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 28 March 2019]; 3(1) : 473-476. Available from: http://ijariie.com/AdminUploadPdf/Survey_on_Mining_Health_Examination_Records__A_Graph_based_Approach_ijariie3605.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 3/28/2019 10:40:00 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Machine Learning Approach for Cross Script Named Entity Recognitioncomputer engineeringAnushka singh Download
A Deep Learning Approach of Hate Speech and Offensive Language Detection on Twitter -A REVIEWcomputer engineering Afaroz Alam Download
REST Assured for Automating APIs TestingComputer Science and EngineeringMs. Rekha Shelake Download
The Artificial Intelligence Impact on Software TestingComputer EngineeringSainath Asaram Bhad Download
An IoT-Based Intelligent System for Realtime Parking MonitoringComputer EngineeringProf. H. R. Agashe Download
The Freshness of Food Detection using the Internet of Things and Android AppComputer EngineeringProf. Smita Thakare Download
Development and Prototyping of Android Vehicle Maintenance Applications using Figma and KotlinComputer EngineeringAjub Ajulian Download
Effective Time Management in the Academic & Achievement of Students.Applied Science & Computer Engieering Prof: Prof Belkar Janardhan Ambadas1 Download
Dynamic Churn Prediction System using Machine Learning AlgorithmsComputer EngineeringProf. S. N. Bhadane Download
Distribution of occupied resources by fuzzy customers in a shared-resource systemCommunication engineering, computer engineering, production engineeringToky Basilide Ravaliminoarimalalason Download
Survey On Smart Taxi Booking SystemComputer EngineeringPrathmesh Gonjare Download
Survey Paper on Blockchain Based Crowd-sourcing Systems and automation of Question Paper GenerationComputer EngineeringAditi Polkam Download
Virtual Assistant using PythonComputer EngineeringVineet Gupta Download
QR CODE GENERATOR USING PYTHONComputer EngineeringKomal Bhika Mandal Download
“Mining the large Banking dataset by using K-means, DBSCAN and HAC in WEKA tool”COMPUTER ENGINEERINGJYOTI Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2023. IJARIIE. All Rights Reserved.