Enhancing rare disease diagnosis: a weighted cosine similarity approach for improved k-nearest neighbor algorithm

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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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Bibliographic Details
Main Authors:	Abokadr, Somiya, Azman, Azreen, Hamdan, Hazlina, Amelina, Nurul
Format:	Article
Published:	Little Lion Scientific 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/107707/

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