Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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NLP-Powered Disease Identification and Medical Coding Automation

Authors
Ram Prasad Reddy Sadi1, *, Budi Ramya1, Balivada Bhuvan Deepankar1, V. Neelamraju1, Sai Diwakara Subrahmanyam1, Badam Ramesh1
1Department of Information Technology, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
*Corresponding author. Email: ramyabudi80@gmail.com
Corresponding Author
Ram Prasad Reddy Sadi
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_245How to use a DOI?
Keywords
ICD-10 Codes; NLP models; Automata clinical coding; OCR; Deep learning; TF-IDF vectorizer; Gemini AI
Abstract

The proliferation of unstructured medical documents necessitates efficient methods for extracting and analyzing patient symptoms to enhance clinical decision-making. Now-a-days, in medical field clinical coding and symptoms identification are doing manually or they are manual process. This paper presents a comprehensive approach that integrates Optical Character Recognition (OCR), Natural language Processing (NLP), and machine learning techniques to automate the extraction of symptoms from various document formats and predict corresponding diseases along with their ICD-10 codes. The system leverages TensorFlow for disease prediction, a TF-IDF vectorizer for symptom representation and incorporates Google’s Gemini AI for advanced text analysis. The proposed methodology demonstrates significant potential in streamlining medical document processing and improving diagnostic accuracy.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_245How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ram Prasad Reddy Sadi
AU  - Budi Ramya
AU  - Balivada Bhuvan Deepankar
AU  - V. Neelamraju
AU  - Sai Diwakara Subrahmanyam
AU  - Badam Ramesh
PY  - 2025
DA  - 2025/11/04
TI  - NLP-Powered Disease Identification and Medical Coding Automation
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2911
EP  - 2928
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_245
DO  - 10.2991/978-94-6463-858-5_245
ID  - Sadi2025
ER  -