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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Predictive Models for Accurate ICD code recommendations |
| Authors Name: | M LAKSHMI , Manjula KJ , JEEVITHA HS , CHANDANA KR , KUSHALA B |
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IJRTI_207642
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| Published Paper Id: | IJRTI2511166 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | The International Classification of Diseases (ICD) coding system gives a standard structure for classifying diseases and health conditions that supports healthcare documentation, analytics, and billing. Manual ICD code assignment takes a lot of time and is prone to human errors, especially when handling large volumes of patient data. This paper introduces an automated ICD code prediction model that applies a deep learning approach using Long Short-Term Memory (LSTM) networks. The system uses Word2Vec embeddings trained on medical text to capture semantic and temporal relationships between patient symptoms, treatments, and existing conditions. The model was trained on a customised patient dataset with 528 records across 10 ICD categories. The proposed method showed strong results with an overall accuracy of 94.31%, precision of 94.40%, recall of 94.31%, and an F1score of 94.33%. The framework improves ICD coding automation, supports reliable diagnosis mapping, and reduces manual workload in healthcare environments. |
| Keywords: | ICD code classification, LSTM, Word2Vec, deep learning, medical text mining, healthcare automation, clinical informatics. |
| Cite Article: | "Predictive Models for Accurate ICD code recommendations", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b583-b587, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511166.pdf |
| Downloads: | 000209 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511166
Registration ID:207642
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b583-b587 Country: Bangalore, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511166 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511166 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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