The von Mises Naive Bayes Classifier for Angular Data
, 2011 Directional and angular information are to be found in almost every field of science. Directional statistics provides the theoretical background and the techniques for processing such data, which cannot be properly managed by classical statistics. The von Mises distribution is the best known angular distribution. We extend the naive Bayes classifier to
López Cruz, Pedro Luis +2 more
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Optimization the Naive Bayes Classifier Method to diagnose diabetes Mellitus
, 2021 World Health Organization (WHO) states that Diabetes Mellitus is the world's top deadly disease. several studies in the health sector including diabetes mellitus have been carried out to detect diseases early.
Riana, Dwiza +1 more
core
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Can naive Bayes classifier predict infection in a close contact of COVID-19? A comparative test for predictability of the predictive model and healthcare workers in Japan. [PDF]
J Infect Chemother, 2022 Yoshikawa H.
europepmc +1 more source
Tree Kernel Usage in Naive Bayes Classifiers
, 2012 We present a novel approach in machine learning by combining naive Bayes classifiers with tree kernels. Tree kernel methods produce promising results in machine learning tasks containing treestructured attribute values. These kernel methods are used to compare two tree-structured attribute values recursively.
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Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Machine Learning Project : Naive Bayes Classifier
, 2019 <p>This is Naive Bayes Classifier based on Maximum Likelihood Estimation. The first model is to handle categorical data only. The second model can handle both categorical data and numeric data.
Huang, Bixuan, Bixuan Huang
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Fire and Materials, EarlyView.ABSTRACT The relationship between accidental dwelling fire incidence and fire injury and fatality was examined using a Bayesian model to estimate the probability of a fire injury or fatality resulting from an accidental dwelling fire incidence under different circumstances of fire incidence (type of accidental dwelling fire, dwelling occupancy type ...
M. Taylor +5 more
wiley +1 more source
Artificial Intelligence-Based Effective Detection of Parkinson’s Disease Using Voice Measurements
Engineering ProceedingsParkinson’s disease (PD) is a neurodegenerative illness that affects the central nervous system and leads to a gradual degeneration of neurons that results in movement slowness, mental health problems, speaking difficulties, etc.
Gogulamudi Pradeep Reddy +4 more
doaj +1 more source
[Establishment of naive Bayes classifier-based risk prediction model for chemotherapyinduced nausea and vomiting]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2021 Cao Z, Xiong X, Yang Q.
europepmc +1 more source