Naïve Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization. [PDF]
Fautt C, Couradeau E, Hockett KL.
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
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
wiley +1 more source
GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. [PDF]
Zhang L, Haldorai A, Naik N.
europepmc +1 more source
KLASIFIKASI EMOSI PADA LIRIK LAGU MENGGUNAKAN ALGORITMA NAÏVE BAYES
Lirik lagu memiliki potensi untuk menyampaikan berbagai emosi melalui perpaduan kata dan nada. Penelitian ini bertujuan untuk melakukan klasifikasi emosi pada lirik lagu menggunakan algoritma Naïve Bayes. Proses penelitian dimulai dengan pengumpulan data
Zetga F , Mohamad Faiz +5 more
core
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh. [PDF]
Mondal C, Uddin MJ.
europepmc +1 more source
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang +7 more
wiley +1 more source
Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. [PDF]
Wang JD.
europepmc +1 more source
Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model. [PDF]
Albreiki S +3 more
europepmc +1 more source
Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes. [PDF]
Monteverde-Suárez D +6 more
europepmc +1 more source

