Cargando…
Principal Component Analysis of Categorized Polytomous Variable-Based Classification of Diabetes and Other Chronic Diseases
A chronic disease diabetes mellitus is assuming pestilence proportion worldwide. Therefore prevalence is important in all aspects. Researchers have introduced various methods, but still, the improvement is a need for classification techniques. This paper considers data mining approach and principal...
Autores principales: | Muhammad, Musa Uba, Jiadong, Ren, Muhammad, Noman Sohail, Hussain, Munawar, Muhammad, Irshad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801713/ https://www.ncbi.nlm.nih.gov/pubmed/31557898 http://dx.doi.org/10.3390/ijerph16193593 |
Ejemplares similares
-
Data mining process for predicting diabetes mellitus based model about other chronic diseases: a case study of the northwestern part of Nigeria
por: Uba, Muhammad Musa, et al.
Publicado: (2019) -
A hybrid Forecast Cost Benefit Classification of diabetes mellitus prevalence based on epidemiological study on Real-life patient’s data
por: Sohail, Muhammad Noman, et al.
Publicado: (2019) -
A Euclidean Group Assessment on Semi-Supervised Clustering for Healthcare Clinical Implications Based on Real-Life Data
por: Sohail, Muhammad Noman, et al.
Publicado: (2019) -
Stratified Diabetes Mellitus Prevalence for the Northwestern Nigerian States, a Data Mining Approach
por: Muhammad, Musa Uba, et al.
Publicado: (2019) -
Supervised categorical principal component analysis for genome-wide association analyses
por: Lu, Meng, et al.
Publicado: (2014)