Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.]
Diagnosing the types of disease before treatment starts is the most important task for medical staff. Usually, a patient’s disease is investigated based on the symptoms that exist such as temperature records for viral fever and stomach pain for malaria. Therefore, in this research, relationships bet...
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my.uitm.ir.725352023-03-30T10:39:03Z https://ir.uitm.edu.my/id/eprint/72535/ Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] jmcs Alias, Suriana Mustapha, Norzieha Md Yassin, Roliza Mohd Yusoff, Nazhatul Sahima Mohamad, Siti Nurul Fitriah Medical education. Medical schools. Research Medical care Hospitals. Health facilities Diagnosing the types of disease before treatment starts is the most important task for medical staff. Usually, a patient’s disease is investigated based on the symptoms that exist such as temperature records for viral fever and stomach pain for malaria. Therefore, in this research, relationships between patients’ records and symptoms and disease and symptoms were analyzed using the roughness-Cosine similarity measure. For a more presentable result, the rough neutrosophic set was used in the development of the proposition for the roughness-Cosine similarity measure. All the data collected were also represented in a rough neutrosophic set environment where lower and upper approximations exist. The comparative result indicates that all the patients were suffering from viral fever. 2022-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/72535/1/72535.pdf Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.]. (2022) Journal of Mathematics and Computing Science, 8 (2). pp. 79-87. ISSN 0128-0767 https://jmcs.com.my/ |
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Medical education. Medical schools. Research Medical care Hospitals. Health facilities Alias, Suriana Mustapha, Norzieha Md Yassin, Roliza Mohd Yusoff, Nazhatul Sahima Mohamad, Siti Nurul Fitriah Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
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Diagnosing the types of disease before treatment starts is the most important task for medical staff. Usually, a patient’s disease is investigated based on the symptoms that exist such as temperature records for viral fever and stomach pain for malaria. Therefore, in this research, relationships between patients’ records and symptoms and disease and symptoms were analyzed using the roughness-Cosine similarity measure. For a more presentable result, the rough neutrosophic set was used in the development of the proposition for the roughness-Cosine similarity measure. All the data collected were also represented in a rough neutrosophic set environment where lower and upper approximations exist. The comparative result indicates that all the patients were suffering from viral fever. |
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Article |
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Alias, Suriana Mustapha, Norzieha Md Yassin, Roliza Mohd Yusoff, Nazhatul Sahima Mohamad, Siti Nurul Fitriah |
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Alias, Suriana Mustapha, Norzieha Md Yassin, Roliza Mohd Yusoff, Nazhatul Sahima Mohamad, Siti Nurul Fitriah |
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Alias, Suriana |
title |
Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
title_short |
Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
title_full |
Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
title_fullStr |
Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
title_full_unstemmed |
Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] |
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medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / suriana alias … [et al.] |
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2022 |
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https://ir.uitm.edu.my/id/eprint/72535/1/72535.pdf https://ir.uitm.edu.my/id/eprint/72535/ https://jmcs.com.my/ |
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