Symptom-Based Medicine Recommendations Used in Natural Language Processing

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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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-10-11
DOI
https://doi.org/10.37934/araset.62.1.1831
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Symptom-Based Medicine Recommendations Used in Natural Language Processing

Bi Lynn Ong, Riaz Ahmad, Naimah Yaakob, Shadikur Rahman et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Topic Modeling
article

Symptom-Based Medicine Recommendations Used in Natural Language Processing

Bi Lynn Ong, Riaz Ahmad, Naimah Yaakob, Shadikur Rahman, Hasnur Jahan, Nur Farhan Kahar, Md. Shohel Arman, Md. Maruf Hassan, Hridoy Chowdhury
article en

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.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Daffodil International University (BD), Universiti Malaysia Perlis (MY)
Openalex Percentile: Top 84%
Topic Modeling
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