N
Nishith Kumar
Researcher at Bangabandhu Sheikh Mujibur Rahman Science and Technology University
Publications - 15
Citations - 346
Nishith Kumar is an academic researcher from Bangabandhu Sheikh Mujibur Rahman Science and Technology University. The author has contributed to research in topics: Missing data & Singular value decomposition. The author has an hindex of 8, co-authored 13 publications receiving 222 citations. Previous affiliations of Nishith Kumar include University of Rajshahi.
Papers
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Journal ArticleDOI
Comparative approaches for classification of diabetes mellitus data
Md. Maniruzzaman,Nishith Kumar,Md. Menhazul Abedin,Md. Shaykhul Islam,Harman S. Suri,Ayman El-Baz,Jasjit S. Suri +6 more
TL;DR: Gaussian process (GP)-based classification technique using three kernels namely: linear, polynomial and radial basis kernel is adapted and investigated in comparison to existing techniques such as LDA, QDA and NB.
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Serum and Plasma Metabolomic Biomarkers for Lung Cancer.
TL;DR: This paper has identified the influential plasma and serum blood sample metabolites for lung cancer and also identified the biomarkers that will be helpful for early disease prediction as well as for drug invention.
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Risk factors of neonatal mortality and child mortality in Bangladesh.
Maniruzzaman,Harman S. Suri,Nishith Kumar,Menhazul Abedin,Jahanur Rahman,Ayman El-Baz,Makrand Bhoot,Jagjit S Teji,Jasjit S. Suri +8 more
TL;DR: The main objective of this study was to determine the most significant socio-economic factors (covariates) between the years 2011 and 2014 that influences on neonatal and child mortality and to further suggest the plausible policy proposals.
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Metabolomic Biomarker Identification in Presence of Outliers and Missing Values.
TL;DR: A new biomarker identification technique combining the groupwise robust singular value decomposition, t-test, and fold-change approach that can identify biomarkers more correctly from metabolomics dataset is proposed.
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Robust volcano plot: identification of differential metabolites in the presence of outliers
TL;DR: A kernel weight based outlier-robust volcano plot for identifying differential metabolites from noisy metabolomics datasets and shows that the performance of the proposed differential metabolite identification technique is better than that of existing methods.