A Smart Recommendation System for Medicine using Intelligent NLP Techniques
C. Srinivasa Kumar, Ranga Swamy Sirisati, Viswanath Gudditti, Kanusu Srinivasa Rao, Ratna Kumari Challa
Abstract
Today, people are more and more worried about their health and problems with medical diagnoses. On the other hand, government research asserts that more than 1 crore individuals every year pass unexpectedly as a result of incorrect prescriptions written by unskilled medical professionals. Doctors are to blame for more than 42% of drug errors because they write inaccurate prescriptions as a result of their lack of experience. A large area of technology called natural language processing has the power to change the way things are done right now. What it is the study of language processing. It deals with recognizing key elements of spoken and written language and extracting meaning from unstructured material using computer algorithms. Systems that recommend medications to medical practitioners may aid in the selection of a drug that is appropriate for the patient. If these recommendation systems were created with the aid of today’s cutting-edge technologies, they might produce results that are shorter. Numerous modern pharmaceutical recommendation systems were built using various algorithms.