Derive and Establishment Remuneration Over Medical Statements

Authors(3) :-G. Venkatesh, S. Tharun Kumar, Sivasankar Chittoor

Common health examination could be an elementary a part of tending in several countries. distinctive the participants in danger are vital for early warning and for preventive purpose. When distinctive the health risk, the user can consult a doctor and that they can try and get endure health risks. The medical bills are high, thus to induce at least some quantity back we tend to area unit exploitation medical compensation technique. during this, we are going to gain at least some % a refund supported our medical expenses.

Authors and Affiliations

G. Venkatesh
Assistant Professor, Department of Computer Science And Engineering, Kmmits, Tirupati, India
S. Tharun Kumar
Assistant Professor, Department of Computer Science And Engineering, Kmmits, Tirupati, India
Sivasankar Chittoor
Assistant Professor, Department of Computer Science And Engineering, Kmmits, Tirupati, India

Records, Reimbursement, Hospitalization, Systolic, Diastolic.

  1. M. F. Ghalwash, V. Radosavljevic, and Z. Obradovic, "Extraction of interpretable multivariate patterns for early diagnostics," IEEE International Conference on Data Mining, pp. 201-210, 2013.
  2. T. Tran, D. Phung, W. Luo, and S. Venkatesh, "Stabilized sparse ordinal regression for medical risk stratification," Knowledge and Information Systems, pp. 1-28, Mar. 2014.
  3. M. S. Mohktar, S. J. Redmond, N. C. Antoniades, P. D. Rochford, J. J. Pretto, J. Basilakis, N. H. Lovell, and C. F. McDonald, "Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data," Artificial Intelligence in Medicine, vol. 63, no. 1, pp. 51-59, 2015.
  4. J. M. Wei, S. Q. Wang, and X. J. Yuan, "Ensemble rough hypercuboid approach for classifying cancers," IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 3, pp. 381-391, 2010.
  5. E. Kontio, A. Airola, T. Pahikkala, H. Lundgren-Laine, K. Junttila, H. Korvenranta, T. Salakoski, and S. Salanter¨a, "Predicting patient acuity from electronic patient records." Journal of Biomedical Informatics, vol. 51, pp. 8-13, 2014.
  6. Q. Nguyen, H. Valizadegan, and M. Hauskrecht, "Learning classification models with soft-label information." Journal of the American Medical Informatics Association : JAMIA, vol. 21, no. 3, pp. 501-8, 2014.
  7. G. J. Simon, P. J. Caraballo, T. M. Therneau, S. S. Cha, M. R. Castro, and P. W. Li, "Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus," IEEE Transactions Knowledge and Data Engineering, vol. 27, no. 1, pp. 130-141, 2015.
  8. L. Chen, X. Li, S. Wang, H.-Y. Hu, N. Huang, Q. Z. Sheng, and M. Sharaf, "Mining Personal Health Index from Annual Geriatric Medical Examinations," in 2014 IEEE International Conference on Data Mining, 2014, pp. 761-766.
  9. S. Pan, J. Wu, and X. Zhu, "CogBoost: Boosting for Fast Costsensitive Graph Classification," IEEE Transactions on Knowledge and Data Engineering, vol. 6, no. 1, pp. 1-1, 2015.
  10. https://en.wikipedia.org/wiki/Reimbursement, "Reimburse, definition". Merriam-Webster.
  11. Y. Zhao, G. Wang, X. Zhang, J. X. Yu, and Z. Wang, "Learning phenotype structure using sequence model," IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 3, pp. 667-681, 2014.
  12. C.-H. Jen, C.-C. Wang, B. C. Jiang, Y.-H. Chu, and M.-S. Chen, "Application of classification techniques on development an earlywarning system for chronic illnesses," Expert Systems with Applications, vol. 39, no. 10, pp. 8852-8858, Aug. 2012.
  13. L. Chen, X. Li, Y. Yang, H. Kurniawati, Q. Z. Sheng, H.-Y. Hu, and N. Huang, "Personal health indexing based on medical examinations: A data mining approach," Decision Support Systems, vol. 81, pp. 54 - 65, 2016.
  14. M. Ji, Y. Sun, M. Danilevsky, J. Han, and J. Gao, "Graph regularized transductive classification on heterogeneous information networks," Machine Learning and Knowledge Discovery in Databases, vol. 6321 LNAI, pp. 570-586, 2010.
  15. F. Nie, S. Xiang, Y. Liu, and C. Zhang, "A general graph-based semi-supervised learning with novel class discovery," Neural Computing and Applications, vol. 19, pp. 549-555, 2010.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1321-1324
Manuscript Number : CSEIT1726287
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

G. Venkatesh, S. Tharun Kumar, Sivasankar Chittoor, "Derive and Establishment Remuneration Over Medical Statements", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1321-1324, November-December-2017. |          | BibTeX | RIS | CSV

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