Symptom-Based Medicine Recommendations Used in Natural Language Processing

Authors

  • Md. Maruf Hassan Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh
  • Hridoy Chowdhury Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh
  • Md. Shohel Arman Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh
  • Hasnur Jahan Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh
  • Shadikur Rahman Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh
  • Naimah Yaakob Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia
  • R. Badlishah Ahmad Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia
  • Bi Lynn Ong Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia
  • Nur Farhan Kahar Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

DOI:

https://doi.org/10.37934/araset.62.1.1831

Keywords:

DICOM, JPEG, python, RSA, triple DES

Abstract

Humanity and viral diseases have long been at odds. However, the idea of evolution contends that each livelihood thing in the earth, along with which is tiny, continuously battles for its life. As a result, the spread of viral infection among people has a significant impact on illness and mortality. Viruses are always changing quickly. Even though we have now several methods of edge cutting for the discovery, inhibit, and also therapy contagious illnesses, the initiation of latest illness still poses a serious danger to the condition of health of the whole world community. One such instance is the newly discovered virus. COVID-19. New virus is adding in the world and new medicine also adding in the pharmaceutical department. So, there is coming new medicine to doctors and they are suggesting them to the patients in prescription. Medical staff workers, on the other hand, are noted for their shoddy cursive script. Approximately 7,000 casualty each annual tine in the United States is assigned to incapability for reading physician’s scripted prescriptions written by their hand. The matter might to be poor as more Bangladesh physicians and other minimum advanced countries handwrite their medicines on paper. As a result, patients and pharmacists frequently provide the wrong drugs to patients. For creating it easier for understanding medicines scripted by physicians, the study builds an offline identification of prescription which is handwritten. The Medex webpage and medical agents in Bangladesh's Noakhali district provided samples of prescription and drug information for this inquiry.

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Author Biographies

Md. Maruf Hassan, Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh

maruf.swe@diu.edu.bd

Hridoy Chowdhury, Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh

hridoy35-2605@diu.edu.bd

Md. Shohel Arman, Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh

arman.swe@diu.edu.bd

Hasnur Jahan, Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh

hasnurjahan1997@gmail.com

Shadikur Rahman, Department of Software Engineering, DIU Data Science Lab, Daffodil International University, Dhaka, Bangladesh

sadicse@yorku.ca

Naimah Yaakob, Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

naimahyaakob@unimap.edu.my

R. Badlishah Ahmad, Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

badli@unimap.edu.my

Bi Lynn Ong , Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

drlynn@unimap.edu.my

Nur Farhan Kahar, Department Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

nurfarhan@unimap.edu.my

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Published

2024-10-11

How to Cite

Hassan, M. M. ., Chowdhury, H. . ., Arman, M. S. . ., Jahan, H. ., Rahman, S. ., Yaakob, N. ., Ahmad, R. B. . ., Ong , . . B. L., & Kahar, N. F. . (2024). Symptom-Based Medicine Recommendations Used in Natural Language Processing. Journal of Advanced Research in Applied Sciences and Engineering Technology, 18–31. https://doi.org/10.37934/araset.62.1.1831

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