SYNTHETIC DATA GENERATION VIA GENERATIVE ADVERSARIAL NETWORKS IN HEALTHCARE: A SYSTEMATIC REVIEW OF IMAGE- AND SIGNAL-BASED STUDIES

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning.This systematic review analyzes GAN applications in healthcare, Blood Pressure Monitors focusing on image and signal-based studies across various clinical domains.Following Preferred Reporting Items for Systemati

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Adjuvant Chemotherapy and Radiotherapy in Resected Pancreatic Ductal Adenocarcinoma: A Systematic Review and Clinical Practice Guideline

Pancreatic cancer is the seventh leading cause of cancer deaths worldwide, accounting for 4.7% of all cancer deaths, and is expected to climb Arts significantly over the next decade.The purpose of this systematic review and guidance document was to synthesize the evidence surrounding the role of adjuvant treatment (chemotherapy and chemoradiation t

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Experimental data-set for prediction of tool wear during turning of Al-1061 alloy by high speed steel cutting tools

In this investigation, the dataset presented will give important information to understand the area of cutting tool wear during turning operations, tool nature is the most difficult tasks in manufacturing process, particularly in the locomotive industry.With the view to optimize the cutting parameters, the tests were Alpha Lipoic Acid carried out t

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Interaction effect of recycled aggregate type, moisture state, and mixing process on the properties of high-performance concretes

This paper Magnesium presents the results of a laboratory study and statistical analysis to determine the effect of the combination of three key parameters on the properties of high-performance concretes with recycled aggregates: mixing procedure, aggregate moisture states, and aggregate type.The study included evaluation of slump, compressive, fle

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