CONTRIBUTIONS TO THE STUDY OF BIG DATA ANALYTICS

This book explores the genetic adaptations of populations living in high altitude environments and the diseases they face. The researcher uses text mining and network analysis to identify the gene networks responsible for high altitude diseases. The author proposes a machine learning algorithm named Random Forest to predict miRNA-disease association using five modules: preprocessing data analysis feature extraction dimensionality reduction and prediction. The methodology is evaluated using precision recall F-measure and accuracy. This research aims to improve the identification of disease genes from vast amounts of genetic data and provide a powerful tool for diagnosing progressing and treating human diseases.