BEYOND C9ORF72: REPEAT EXPANSIONS AND COPY NUMBER VARIATIONS AS RISK FACTORS OF AMYOTROPHIC LATERAL SCLEROSIS ACROSS VARIOUS POPULATIONS

Beyond C9orf72: repeat expansions and copy number variations as risk factors of amyotrophic lateral sclerosis across various populations

Abstract Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder which is characterized by the loss of both upper and lower motor neurons in the central nervous system.In a significant fraction of ALS cases - irrespective of family history- a genetic background may be identified.The genetic background of ALS shows a high variability fro

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Exploring the Impact of Alternatives of Object-Oriented Cohesion Measures on Machine Learning-Based Predictions of Inheritance Reusability

The cohesion of an object-oriented class refers to the relatedness of its methods and attributes.Constructors, destructors, and access methods are special types of methods featuring unique characteristics that can artificially affect class cohesion quantification.Methods within a class can also directly or transitively invoke each other, representi

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Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care.We develop and compare four machine learning models, including multinomial logistic regression, decision tree, random forest, and artificial neural network, to accurately predict patient arrival patterns Allergy Reli

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