Barriers to blockchain adoption in health-care industry: an Indian perspective

M Sharma, S Joshi - Journal of Global Operations and Strategic …, 2021 - emerald.com
Purpose This paper aims to identify barriers toward the adoption of blockchain (BC)
technology in Indian health-care industry and also examines the significant issues of BC …

An artificial neural network approach for predicting hypertension using NHANES data

F López-Martínez, ER Núñez-Valdez, RG Crespo… - Scientific Reports, 2020 - nature.com
This paper focus on a neural network classification model to estimate the association among
gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It …

Framework for global sensitivity analysis in a complex 1D-2D coupled hydrodynamic model: Highlighting its importance on flood management over large data-scarce …

K Mondal, S Bandyopadhyay, S Karmakar - Journal of Environmental …, 2023 - Elsevier
Sensitivity analysis determines how perturbation or variation in the values of an independent
variable affects a particular dependent variable. The present study attempts to comprehend …

Across atoms to crossing continents: Application of similarity measures to biological location data

F Schuhmann, L Ryvkin, JD McLaren, L Gerhards… - Plos one, 2023 - journals.plos.org
Biological processes involve movements across all measurable scales. Similarity measures
can be applied to compare and analyze these movements but differ in how differences in …

[PDF][PDF] Evaluation of machine learning techniques for hypertension risk prediction based on medical data in Bangladesh

M Asadullah, MM Hossain, S Rahaman… - Indonesian Journal of …, 2023 - researchgate.net
Hypertension in Bangladesh is a leading cause of cardiovascular diseases, stroke, and
kidney failure, resulting in significant morbidity and mortality. Preventive measures and …

Structural Complexity in Adapted Reading Materials: A Study Based on the Amount of Information

Y Shi, L Lei - Reading Research Quarterly, 2024 - Wiley Online Library
Most of the previous studies focused on lexical and syntactic features in adapted texts while
little attention has been paid to the structural complexity from the perspective of the amount …

Characterizing the statistical complexity of nonlinear time series via ordinal pattern transition networks

Y Chen, G Ling, X Song, W Tu - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Complex network approaches have lately emerged as innovative and complementary
notions of nonlinear time series analysis, capable of revealing numerous aspects that more …

Demonstration of the impacts of anti-sedimentation techniques on Japanese reservoir siltation via mass data ANN analysis

T Landwehr, SA Kantoush, D Nohara… - Journal of …, 2022 - iwaponline.com
Reservoirs have been installed as long-term assets to guarantee water and energy security
for decades, if not centuries. However, the effect of siltation undermines reservoirs' …

Optimal depth and a novel approach to variational unitary quantum process tomography

V Galetsky, PJ Farré, S Ghosh, C Deppe… - New Journal of …, 2024 - iopscience.iop.org
In this work, we present two new methods for Variational Quantum Circuit (VQC) Process
Tomography onto n qubits systems: unitary Process Tomography based on Variational …

Objective methods for matching neuropsychological patterns: Formulas and comparisons

JE Meyers, RM Miller - Applied Neuropsychology: Adult, 2023 - Taylor & Francis
Introduction Objective neuropsychology test score pattern matching methods can help to
identify data similarities and differences with comparison groups which can help the clinician …