Using Apache Hadoop And Hybrid Deep Learning For Gene-Based Disease Prediction In Healthcare
Abstract Advancements in genetic research have opened up new avenues for understanding and predicting genetic disorders. This study presents a comprehensive pipeline for gene-based disease prediction, leveraging big data and deep learning techniques. The study employs Apache Hadoop-based big data handling to efficiently process and manage the voluminous and intricate genetic datasets. The collected genetic data then undergoes meticulous pre-processing, which involves crucial steps such as data cleaning, standardization, and

