Work

Symptoms Diagnosis and Medical Prescription System

Year: 2025

Type: article

Abstract: This research paper presents the design and development. This project aims to develop an intelligent symptom diagnosis and medical prescription system using machine learning and natural language processing techniques. The system will analyze patient symptoms, medical histories, and laboratory results to provide accurate diagnoses and recommend effective treatments, improving the accuracy and efficiency of symptom diagnosis and medical prescription. By employing machine learning algorithms and natural language processing techniques, the system will provide clinicians with a valuable tool for diagnosing and treating patients, reducing the risk of medical errors and improving patient outcomes, with the potential to revolutionize the field of healthcare.

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-24496

Authors: Ms. Smruti B. Gadave, Ms. Sakshi N. Swami, Ms. Prerna N. Salunke, Ms. Prerana B. Chavale, Prof. Kazi A. S. M.

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4408858474

FWCI:

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