AI-Based Medical Diagnosis Using Machine Learning and Natural Language Processing for Symptoms Prediction

Mahak; G. Hariharan; Sakshi Kathuria; Jyoti Chaudhary

doi:10.55524/ijirem.2026.13.3.1

Abstract

Given the increasing importance of fast, accurate and cost-effective medical diagnoses, it is now crucial to develop smart systems that can assist in diagnosing patients. This paper is a design and development concept to develop a tool that can be used by patients to diagnose their medical condition and offer early diagnostic advice to the patient. The system is set in such a way that to pass in information that is not strictly structured as the one we normally speak in, here, the symptoms begin to be described in a manner that is easily understandable and realistic in the real world. The NLP module uses steps such as text normalization, tokenization and lemmatization (word normalization), as well as entity recognition, in order to extract key features, which are important to the medical context. These characteristics are assessed over the machine learning to answer the potential diseases. The system also establishes the severity of the symptoms and classifies cases into various degrees basing on urgency. The system is not aimed to replace the professional medical consultation but is a supportive tool to help in diagnosing at the early stages and may be enhanced further with the improved models and real time data availability.

Keywords

Artificial Intelligence, Medical Diagnosis, Natural Language Processing, Machine Learning, Symptom Analysis, Risk Assessment, Predictive Modeling.

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Cites this article as

Mahak, G. Hariharan, S. Kathuria, J. Chaudhary, "AI-Based Medical Diagnosis Using Machine Learning and Natural Language Processing for Symptoms Prediction", International Journal of Innovative Research in Engineering and Management (IJIREM), Vol-13, Issue-3, Page No-1-6, 2026. Available from: https://doi.org/10.55524/ijirem.2026.13.3.1

Corresponding Author

Mahak

MCA Scholar, Amity Institute of Information Technology, Amity Institute of Information Technology, GURUGRAM, India

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