Enhancing rare disease diagnosis: a weighted cosine similarity approach for improved k-nearest neighbor algorithm
Diagnosing rare diseases is challenging because they affect only a restricted group of individuals, usually identified as one out of every 2,000 people within the European Union and no more than one out of 1,250 individuals in the United States. This makes it difficult for doctors to recognize the s...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Little Lion Scientific
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107707/ http://www.jatit.org/ |
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| Institution: | Universiti Putra Malaysia |