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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM34130

Medical Data Extraction

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM34130

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM34130

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AMMVB

Asst.Prof. Mrs. Meghana Vidyadhar Bandiwadekar

RDB

Ramprasad Dattatray Bhat

SSK

Samanveet Shankarrao Kurulkar

RRK

Roshan Rajendra Kesarkar

ASP

Ankur Sanjaykumar Potdar

MAM

Muhammadkhalid Alfaj Mujawar

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Abstract

– The proposed system is a user-friendly and efficient Data Extraction software for Medical Documents and Images, integrating advanced technologies such as PHP, Android, database, ML-Kit, retrofit, recycler views. The application facilitates efficient user registration, user login, insurance claims, and management of claimed users. The system aims to enhance the accessibility and accuracy of medical data extraction, thereby optimizing insurance procedures for agents, Also This paper outlines the technical architecture, functionalities, and implementation details of the application, highlighting its potential to revolutionize insurance operations within the healthcare industry.

KEYWORDS

– Machine Learning Kit(ML-Kit)

Cite This Article

Asst.Prof. Mrs. Meghana Vidyadhar Bandiwadekar, Ramprasad Dattatray Bhat, Samanveet Shankarrao Kurulkar, Roshan Rajendra Kesarkar, Ankur Sanjaykumar Potdar, Muhammadkhalid Alfaj Mujawar, "Medical Data Extraction," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM34130

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Publication Date

12/31/45427

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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