Comparison Of Various Machine Learning Algorithms For Recognizing Text On The Medical Prescriptions

Authors

  • Sandhya P , Rama Prabha K.P , Jayanthi.R , V. Sujatha , Asha N , M B Benjula anbu malar

DOI:

https://doi.org/10.47750/pnr.2022.13.S09.252

Abstract

For the sake of enhancing quality of life, patient happiness is one of the most important Key Performance Indicator (KPI) Goals in the health care industry. Patients' satisfaction with healthcare providers would improve if waiting times were reduced. The recent success of AI and ML is unprecedented. It has made life easier and better for people overall. To determine whether or not it is worthwhile to alter the outpatient pharmacy process, a machine-learning-based framework for healthcare has been developed. Doctors' hectic schedules cause them to jot prescriptions in illegible handwriting, which might lead to confusion while trying to identify the correct medication. Before buying a medication, patients often want to know more about it. However, due to the poor handwritten of physician and the variety of their handwriting, no technique has led to complete recognition of medicine names; this has led us to machine learning, in which the system may discover different characters for exact drugs in order to identify new handwritings. Through the use of a mobile application that can read handwritten medicine names and provide a readable textual content of the medication and the dose, this work offered a system that provides a resolution for both the pharmacists and the patient. Multiple prediction methods are taken into account, and the results of the associated work's data sets are analyzed and compared.

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Published

2022-11-22 — Updated on 2022-11-22

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How to Cite

Sandhya P , Rama Prabha K.P , Jayanthi.R , V. Sujatha , Asha N , M B Benjula anbu malar. (2022). Comparison Of Various Machine Learning Algorithms For Recognizing Text On The Medical Prescriptions. Journal of Pharmaceutical Negative Results, 2083–2091. https://doi.org/10.47750/pnr.2022.13.S09.252

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Articles