International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Based Disease Prediction System using OCR and Logistic Regression |
|---|---|
| ABSTRACT | Disease prediction has become an important research area in the healthcare sector due to the increasing demand for early diagnosis and effective treatment. Traditional medical diagnosis methods often require manual analysis of patient reports and laboratory results, which can be time-consuming and prone to human error. This research proposes an AI-Based Disease Prediction System using Optical Character Recognition (OCR) and Logistic Regression to automate medical report analysis. The system extracts medical parameters such as hemoglobin, glucose level, cholesterol, and blood pressure from scanned medical reports using Tesseract OCR. The extracted data is preprocessed and analyzed using a Logistic Regression machine learning model to predict diseases such as anemia, diabetes, and heart disease. The system also integrates a rule-based recommendation module that evaluates abnormal parameter ranges and provides medicine suggestions and lifestyle recommendations. A webbased interface allows users to upload medical reports, analyze extracted parameters, and generate downloadable prediction summaries. The proposed system reduces manual effort, improves efficiency in medical data analysis, and supports early disease detection. |
| AUTHOR | G.V.S. ANANTHANATH, T. RADHA DEVI, N. CHARAN KUMAR, Y. SAI PRANEEETH, S. LEELAVATHI, J. NAMRATHA BHURANESWARI Assistant Professor, Department of CSE (AI & ML), NSRIT, Visakhapatnam, India Students, Department of CSE (AI & ML), NSRIT, Visakhapatnam, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403085 |
| pdf/85_AI-Based Disease Prediction System using OCR and Logistic Regression.pdf | |
| KEYWORDS | |
| References | 1. T. M. Mitchell, Machine Learning, McGraw-Hill, 1997. 2. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006. 3. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016. 4. R. Smith, “An Overview of the Tesseract OCR Engine,” IEEE ICDAR, 2007. 5. F. Pedregosa et al., “Scikit-learn: Machine Learning in Python,” JMLR, 2011. 6. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Pearson, 2018. |
