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Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
Published 2022“…Thyroid disease can affect everyone-men, women, children, adolescents, and the elderly. …”
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Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
Published 2019“…Malaysia is one of the affected tropical regions that has experienced a significant rate of morbidity and mortality in the last few years. …”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Finally, an adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order to increase the optimality and stability rates of the proposed path planning algorithm. …”
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4
Production quantity estimation using an improved artificial neural network
Published 2015“…This model is designed based on input variables that affect the determination of production quantity which include demand, setup costs, production, material costs, holding costs, transportation costs. …”
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5
Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation
Published 2020“…A predicted model using regression was used for both Mg and P to develop a predicted spatial variability map for both soil nutrients with soil ECa as the independent variable. …”
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All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…Proper estimation of causation may require consideration of many drug variables and properties including factors affecting absorption, routes of elimination, and pathways of metabolism, active transporters, and metabolism and transporters inhibition. …”
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Developing dengue index through the integration of crowdsourcing approach (X-Waba)
Published 2018“…This research aims at improving the existing dengue indices by developing an algorithm that would use the variables affecting positively the vector’s lifecycle and monitoring them daily to generate an improved Dengue Index that would help forewarn on the high possibility of a dengue outbreak. …”
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