BAYESIAN ASSESSMENT OF DIAGNOSTIC STRATEGY FOR A THYROID NODULE INVOLVING A COMBINATION OF CLINICAL SYNTHETIC FEATURES AND MOLECULAR DATA

Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

The use of machine learning has increased over the years, especially in the world of molecular data.Generally, the inference of relationships between features is determined by statistical models.The phenotype (observable clinical characteristics) can result from the expression of the genotype (genetic code) or environmental factors.Molecular datase

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Minimizing the Late Work of the Flow Shop Scheduling Problem with a Deep Reinforcement Learning Based Approach

In the field of industrial manufacturing, assembly line production is the most common production process that can be Computer Racks modeled as a permutation flow shop scheduling problem (PFSP).Minimizing the late work criteria (tasks remaining after due dates arrive) of production planning can effectively reduce production costs and allow for faste

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MRI appearance of chronic subdural hematoma

ObjectiveWe aimed to describe the magnetic resonance imaging (MRI) characteristics of chronic subdural hematoma (cSDH) and to ascribe MRI patterns.MethodsA total of 20 patients having 27 subdural hematomas underwent contrast-enhanced (CE) MRI of the brain at our institution between April 2019 and May 2021.The images were independently evaluated by

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Polyketide stereocontrol: a study in chemical biology

The biosynthesis of reduced polyketides in bacteria by modular polyketide synthases (PKSs) proceeds with exquisite stereocontrol.As the stereochemistry is intimately linked to the strong bioactivity of these molecules, the origins of stereochemical control are of Alcohol Free Beverages significant interest in attempts to create derivatives of these

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