A Euclidean Group Assessment on Semi-Supervised Clustering for Healthcare Clinical Implications Based on Real-Life Data

The grouping of clusters is an important task to perform for the initial stage of clinical implication and diagnosis of a disease. The researchers performed evaluation work on instance distributions and cluster groups for epidemic classification, based on manual data extracted from various repositor...

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Detalles Bibliográficos
Autores principales: Sohail, Muhammad Noman, Ren, Jiadong, Uba Muhammad, Musa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539378/
https://www.ncbi.nlm.nih.gov/pubmed/31064121
http://dx.doi.org/10.3390/ijerph16091581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539378/
https://www.ncbi.nlm.nih.gov/pubmed/31064121
http://dx.doi.org/10.3390/ijerph16091581

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