Background. The purpose of this study was to determine the preoperative accuracy of
preservation of the retropharyngeal fat plane on magnetic resonance (MR) images in predicting …

… About 0.4 mL of sample in a small glass tube was denatured in a 50 C water bath for 15
min. The solution in the glass test tube was rapidly quenched in an iced KCl salt solution (30% …

Idiopathic hypereosinophilic syndrome (HES) is a heterogeneous disorder characterized by
prolonged eosinophilia without an identifiable cause, ultimately resulting in organ …

… This paper reviews applications of machine learning (ML) predictive models in the … In this
study, we reviewed the state-of-the-art approaches that encompass ML models in the primary …

The imaging algorithm for assessing the salivary glands depends on the clinical scenario
with which the patient presents to his or her physician. There is a spectrum of imaging studies …

… in Pima Indian females with particular ML classifiers. (2) … comparative analysis of four different
ML classifiers: Naïve Bayes (NB… sought to identify an optimized ML model, using with cross-…

… Machine Learning (ML) is considered as one of the contemporary approaches in predicting,
identifying, and making decisions without having human involvement. ML is quickly evolving …

… (ML) algorithms are useful to do diagnosis and prediction of cancer tumors with better accuracy.
OBJECTIVE: In this study, we develop an ML … to propose the best ML classifier to identify …

… The purpose of the present study is to develop a sophisticated ML model of dementia …
In this work, four popular ML models such as neural networks (NN) [24], k-nearest neighbor (…

… In this paper, the authors adopted the Fb-Prophet ML model because it can predict the … In
this paper, we adopted the Fb-Prophet machine learning (ML) model because it can predict the …