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Sibun Parida

As seen in: Nature, Wiley Online Library
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Articles

Trust-aware clinical decision support in IoMT using hesitant fuzzy sets and deep learning-based medical image analysis

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By Awwab Mohammad, Basavaraj Rudragouda Patil, Sibun Parida, Savitha Hiremath, Kiran Ramaswamy, Subhasini Shukla, Gyana Ranjana Panigrahi
| Nature Verified
Abstract The Internet of Medical Things promises continuous monitoring for patients and intelligent clinical analysis; yet, an important challenge is how to make reliable decisions from uncertain, noisy, and possibly non-trustworthy data. Current methods typically focus on either medical image analysis or integrity assessment of connected medical devices, with limited reliability of automated clinical decision support.
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LncRTPred: Predicting RNA-RNA mode of interaction mediated by lncRNA

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By Gourab Das, Troyee Das, Sibun Parida, Zhumur Ghosh
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors have no competing interest to declare. Supporting Information Filename Description iub2778-sup-0001-FigureS1.zipZip archive, 105.4 KB Figure S1. Box plot representing the contribution of various features utilised for LncRTPred machine learning models for (a) human and (b) mouse. Box plot showing the comparison of value distribution generated by various features of non-interacting (represented by 0) and interacting (represented by 1) classes.
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