Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
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-11,Issue-4. 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

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

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
Securing Data in CloudComputer EngineeringJeevith M Download
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
12