Titlebook: GeNeDis 2022; Computational Biolog Panagiotis Vlamos Conference proceedings 2023 The Editor(s) (if applicable) and The Author(s), under exc

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https://doi.org/10.1007/978-981-97-9350-1The Editor has retracted this Conference Paper because the authors do not own all of the data reported in it; some of the data derived from the analysis was taken from an unpublished manuscript with a different author list. In addition, Robert Whelan has stated that he was unaware of the submission of this article.

BIBLE

abduction

fertilizer

The Prediction of Tumorigenesis Onset Using Parameters from Chaotic Attractor Models,Tumorigenesis can be modeled as a system of chaotic, nonlinear differential equations. From the analysis of these equations in state space, the onset of tumorigenesis can be predicted based on the status of parameters from the model.

變異

Principles of Machine Learning,tant markers in various diseases for diagnostic and prognostic purposes. Herein, a framework for the design of an innovative methodological approach combined with data processing and appropriate software in order to implement a complete diagnostic system for Parkinson’s disease exploitation is prese

Inkling

Jianbo Shao,Yi Lu,Zhihan Yan,Xin Liechanical Ventilation which helps a patient to breath when breathing is inadequate to maintain life. Despite its important role during ICU admission, the technology for Mechanical Ventilation hasn’t change a lot for several years. In this paper, we developed a model using artificial neural networks,

neoplasm

Bernd J. Stetter,Thorsten Stein hospitalization sustain significant neurodegenerative injury, such as encephalopathy and poor discharge disposition. However, despite some post-acute COVID-19 syndrome (PACS) case series that have described elevated neurodegenerative biomarkers, no studies have been identified that directly compare

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Thomas Walker,Dieter Gramlich,Akram Sadatigles, could spread around the brain through synapses and neural connections of neighboring brain sections. Graph theory is a helpful tool in depicting the complex human brain divided into various regions of interest (ROIs) and the connections among them. Thus, applying graph theory-based models in t

Anthropoid

Machine Learning Development Process,it.” Because of these, falls are listed as the second leading cause of death in Parkinson’s patients. For this reason, the phenomenon of “paradoxical movement” or “Kinesia Paradoxa” (KP), in which a sudden but brief “disappearance” of parkinsonism is observed where the patients’ mobility is normaliz

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