Hearing and Cognitive Function in Aged Adults: A Machine Learning and Mediation Analysis of NHANES
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective Cognitive impairment is a major public health challenge. Early identification is crucial, especially in the often‐overlooked 60–69 age group. This study developed an efficient risk identification tool. Methods Using data from the US National Health and Nutrition Examination Survey (NHANES), three machine learning algorithms screened ...
Jia Luo +7 more
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Epileptic Seizure Detection Using Hyperdimensional Computing and Binary Naive Bayes Classifier. [PDF]
Bioengineering (Basel)Huang X, Meng H, Li Z.
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Robustification of Naïve Bayes Classifier and Its Application for Microarray Gene Expression Data Analysis. [PDF]
Biomed Res Int, 2017 Ahmed MS +5 more
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An inclusive parametric study for performance improvement in WEDM process of pure titanium using Naive Bayes classifier. [PDF]
Sci RepVora J +5 more
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Prediction of Protein Acetylation Sites using Kernel Naive Bayes Classifier Based on Protein Sequences Profiling. [PDF]
Bioinformation, 2018 Ahmed MS +3 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
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The Naïve Bayes classifier++ for metagenomic taxonomic classification-query evaluation. [PDF]
BioinformaticsDuan HN, Hearne G, Polikar R, Rosen GL.
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Automated verbal autopsy classification: using one-against-all ensemble method and Naïve Bayes classifier. [PDF]
Gates Open Res, 2018 Murtaza SS, Kolpak P, Bener A, Jha P.
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Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
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